Data Engineer Jobs in Universal City, TX

About us At our company you are more than an employee, you are a Team Member Business Athlete. As a Team Member, you will be given transparent access to all company decisions and finally feel as though you have the freedom to make decisions about your work-life balance. We believe that the happiest Team Members are those that are given ownership of decisions and processes in both their personal and professional lives. We have a never-ending stream of open positions and are growing fast. Please reach out and we will show you the difference and why our company is most assuredly the company you will want to be an integral part of for many years to come. Position Summary We are seeking a talented Software Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining software solutions for defense projects. This is an exciting opportunity to work on challenging projects and contribute to the success of critical defense programs. Essential Duties and Responsibilities Design, develop, and maintain software solutions for defense applications, adhering to project requirements and specifications. Collaborate with stakeholders to gather and analyze requirements, and propose technical solutions that meet project objectives. Develop software architectures, designs, and prototypes, and review and refine them with project teams and stakeholders. Write clean, efficient, and well-documented code in accordance with coding standards and best practices. Conduct unit testing, integration testing, and system testing of software components, and debug and resolve issues as needed. Collaborate with other engineers and team members to integrate software components and ensure system interoperability and performance. Support software deployment and configuration management activities, and assist with troubleshooting and resolving software-related issues. Stay informed about emerging technologies, trends, and best practices in software development, and apply them to project work. Provide technical expertise and guidance to project teams and stakeholders, and participate in technical reviews and meetings as needed. Knowledge, Skills and Abilities Knowledge of software engineering principles, practices, and standards, and experience with software design, development, and testing. Ability to obtain and maintain a DoD security clearance. Excellent problem-solving and analytical skills, and ability to work effectively in a team environment. Education & Experience Bachelor's degree in Computer Science, Software Engineering, or related field. Minimum of 5 years of experience in software development, preferably in a defense or aerospace environment. Strong proficiency in programming languages such as C/C++, Java, or Python, and experience with software development tools and frameworks. Experience with software development methodologies such as Agile or Waterfall, and familiarity with version control systems such as Git. Master's degree in Computer Science, Software Engineering, or related field. Experience with real-time embedded software development and knowledge of operating systems such as Linux or VxWorks. Familiarity with defense-specific standards and protocols, and experience with defense-related software applications. Experience with software requirements analysis, system architecture design, and software documentation.

Rhombus Power is purposefully transforming defense and global security enterprises with Guardian, our Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance. We provide relevant, actionable, and AI-powered insights at each step in the defense decision-making cycle. Equipped with Guardian's AI-powered tools-- from infrastructure to data to insights -- our clients are able to solve their most complex, interconnected challenges and achieve decision and operational superiority. Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security. Learn more about Rhombus and watch a demonstration of Guardian, our AI Platform here -- *************************************** See the following articles to learn more about what we do: ******************************************************************************************************************** ********************************************************************************************************************************** ********************************************************************************************** Job description As a Data Scientist at Rhombus you will work with our Product team. You will design, develop, and launch efficient and reliable data pipelines to move, analyze, and model data and to provide intuitive analytics from Rhombus' large and complex datasets. A strong systematic mind is a priority, as well as the ability to communicate clearly in multiple technical contexts. The ideal candidate should be passionate about finding insights in large datasets, while maintaining attention to database architecture, data reliability, efficiency, and quality. As we are continually releasing new features and products, the ability to construct elegant system-level data architecture is expected. You will acquire, manipulate, and transform data to breathe life and meaning into arcane holdings, and use your creations to open new doors and opportunities to the customer. An innovative and inquisitive mind is required for success. Responsibilities Discover datasets that could help in solution development Data curation, data evaluation, and data analysis Design, create, and implement quantitative models Validation and quality assurance of data, models and results Deploy and implement solutions in collaboration with product team Interact with the product team on current and upcoming user requirements Responsiveness to customer feedback delivered by product team and responsiveness to customer timelines Systems-level approach to implementation to integrate solutions as part of a larger, interconnected project Qualifications Active Secret clearance A strong academic background in Statistics, Mathematics, Engineering, or similar degree is highly desired. We prefer candidates to hold at minimum a Masters degree. We have multiple openings! Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow Strong background in database management solutions, familiarity with databases such as MySQL and Oracle Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture Experience with Cloud Computing environments (AWS, GCloud, Azure) is a plus Location Palo Alto, CA; St. Louis, MO; Tampa, FL; San Antonio, TX; Colorado Springs, CO; Omaha, NE; Washington, D.C. Salary This position has a salary range of $90,000 to $200,000. Final salary will be determined based on experience and qualifications. Benefits Full medical, dental, vision coverage for employee and dependents 401k matching program PTO and Holidays Bonus and other incentive programs Access to mental health program Access to Flexible Spending Accounts for Health Care, Dependent and Commuter About Rhombus Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations - and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures. **The opportunity** As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects. **Your key responsibilities** In this role, you will design, develop, and maintain scalable data architectures, both on-premises and in the cloud. You'll manage the efficient storage, integration, validation, and security of data throughout its lifecycle. Your contributions will be vital to the delivery of processes, solutions, or projects, requiring you to exercise judgment and select appropriate methodologies to inform recommendations. You will be responsible for meeting your own targets, which will impact the performance of your team, and may guide junior colleagues to achieve project deliverables. + Design and implement scalable data architectures + Ensure efficient data lifecycle management + Contribute to the delivery of key projects and solutions + Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors. + Leveraging your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions + Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs + Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity. + Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products. **Skills and attributes for success** To excel in this role, you should demonstrate expertise in cloud computing, data architecture design, data integration, and software engineering. Your ability to manage relationships, think critically, and adapt with emotional agility will be key to your success. + A deep understanding of the value chain and core processes within the energy, or power systems sectors. + Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts. + A proven ability to design and maintain complex data integrations and ETL pipelines. + Strong organizational skills, capable of leading projects across globally distributed teams. + Exceptional communication skills and the ability to troubleshoot complex data issues. + Collaborate with stakeholders to define technical specifications + Participate in client sessions and lead workstream teams + Manage resource plans, budgets, and project statuses **To qualify for the role, you must have** + A Bachelor's degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field. + At least 5 years of experience in data engineering, AI, and analytics. + At least 5 years of experience in the power and utilities sector. + A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture. + Demonstrated understanding and experience using: + AI, GenAI/Agentic AI + Relational SQL databases + DevOps and continuous integration + Microsoft Fabric, Databricks/Snowflake + GitHub + Experience in cloud computing, data architecture design, data integration, and software engineering + Professional certifications as defined by service line policies + Relationship management skills + Critical thinking and emotional agility **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Leadership experience with a focus on team development and mentorship. + A passion for leveraging emerging technologies to address real-world problems. + A commitment to creating an inclusive work environment that celebrates diversity. **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY25NATAID **What we offer** We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. + **Continuous learning:** You'll develop the mindset and skills to navigate whatever comes next. + **Success as defined by you:** We'll provide the tools and flexibility, so you can make a meaningful impact, your way. + **Transformative leadership:** We'll give you the insights, coaching and confidence to be the leader the world needs. + **Diverse and inclusive culture:** You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. **If you can demonstrate that you meet the criteria above, please contact us as soon as possible.** EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here (********************************************************************************************************************************************************************** for additional information. _EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. _ _EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at_ _**************************_ _._

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity This position can work remotely in the continental U.S. with occasional business travel. The candidate selected for this position will work with the P&C Distribution and Service Data Science team supporting P&C product lines, operations, and quality management functions. Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. What you'll do: * Captures, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. * Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. * Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. * Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes technical documents for knowledge persistence, risk management, and technical review audiences. * Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. * Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. * Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. * Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. * Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. * Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 4 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. * 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. * 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. * Experience writing code that is easy to follow, well detailed, and commented where necessary to explain logic (high code transparency). * Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. * Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. * Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. * Ability to assess regulatory implications and expectations of distinct modeling efforts. * Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. * Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. * Experience presenting analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: * Experience developing and using Natural Language Processing (NLP) tools and techniques including Large Language Models, Sentence Transformers and GenAI. * Experience in P&C Insurance Quality Assurance programs and automation of QA reviews. * Experience in transcription applications such as Gridspace and working with transcript and other textual data. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation: The salary range for this position is: $114,080 - $205,340. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Respond effectively to the diverse perspectives, needs, and feelings of others. * Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. * Use critical thinking to break down complex concepts. * Understand the broader objectives of your project or role and how your work fits into the overall strategy. * Develop a deeper understanding of the business context and how it is changing. * Use reflection to develop self awareness, enhance strengths and address development areas. * Interpret data to inform insights and recommendations. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to design and implement innovative solutions to build and manage the advanced Data ecosystem. As a Senior Associate you are responsible for analyzing complex problems, mentoring others, and maintaining top standards. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency. Responsibilities * Designing and implementing innovative data solutions * Building and managing advanced data ecosystems * Analyzing complex problems and developing solutions * Mentoring and guiding junior team members * Maintaining exceptional standards in deliverables * Building and nurturing client relationships * Developing a deeper understanding of business contexts * Navigating complex situations to deliver quality work What You Must Have * Bachelor's Degree * 10 years of experience What Sets You Apart * Bachelor's Degree in Computer and Information Science, Information Technology preferred * Certification in industry-leading tools or technology for Data and Analytics * Leading data architecture and design implementations * Building advanced Data warehousing solutions * Delivering Managed Data and Analytics programs * Designing scalable data structures and pipelines * Building streamlined ETL/ELT processes * Maintaining Data Governance solutions * Experience with Data analytics tools Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $58,000 - $161,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

div class="content"div class="section-wrapper page-full-width"div class="section page-centered" data-qa="job-description"divb Overview:/b/divdiv /divdiv The MongoDB / Elasticsearch / Linux Sysadm / Ansible Engineer supports various database and automation in a 24/7 Linux environment. /divdiv /divdivA good candidate has knowledge that could be gained with one of the following:/divdiv /divdiv·span style="font-size: 7pt;" /span2+ years of experience with either MongoDB or Elasticsearch application support, DBA or development/divdiv·span style="font-size: 7pt;" /span3+ years of experience with other database application support or DBA or development/divdiv·span style="font-size: 7pt;" /span2+ years of Linux system administration/divdiv·span style="font-size: 7pt;" /span2+ years of Linux system automation/divdiv /divdiv We will train for required expertise in database application support, Linux system administration and other technologies as needed. /divdiv /divdiv bThis role is not eligible for visa sponsorship. /b/divdivb /b/divdiv Responsibilities include issue resolution for database application alerts, upgrades, patching, security, data restorals and replication, backups and performance tuning. They also include operating system and network troubleshooting. /divdiv /divdiv In addition to direct customer support, support engineers work with other teams such as DBAs, SREs, account managers and developers as needed. /divdiv /divdiv Daily activities include responding to customer requests (tickets and chats) and monitoring alerts, monitoring the production environment, providing acceptable system performance, and assuring data are protected and recoverable as required. /divdiv Support Data Engineer IIs own moderate to complex customer issues which may take multiple days to resolve fully. /divdiv /divdiv This position is for shift 1 in a support engineer team that provides 24/7 operations support for MongoDB, Elasticsearch and other database services in a Linux environment. /divdiv /divdiv Due to the 24x7 operations of the business support engineers must be able to work a flexible work schedule, which will include weekends, holidays, occasional nights and emergency escalations. /divdiv /divdiv This position is US only and remote or hybrid, depending on candidate's location in the US. /divdiv /divdiv Support engineers take part in on-call rotation during regular shift hours. /div/divdiv class="section page-centered"divh3Important skills and experience:/h3ul class="posting-requirements plain-list"ulli Excellent troubleshooting skills with ability to resolve issues quickly and effectively/lili Experience managing MongoDB, Elasticsearch or other database configurations/lili Good understanding of Linux operating system, especially debian and CentOS based distributions/lili Ability to work well in teams with good oral, written, and interpersonal skills/lili Ability to communicate technical details and ideas and write documentation/lili Ability to work independently as part of a remote team/li/ul/ul/div/divdiv class="section page-centered"divh3Useful skills and experience:/h3ul class="posting-requirements plain-list"ulli Excellent understanding of MongoDB or Elasticsearch database concepts and structures/lili Proven experience implementing and supporting enterprise database systems/lili Scripting experience with shell scripting or Python/lili Configuration management and orchestration experience with Ansible, Puppet or Chef/lili Exposure to a broad range of technologies, especially Redis, k8s, Postgresql, Hadoop, and Kafka/li/ul/ul/div/divdiv class="section page-centered"divh3Sponsorship:/h3ul class="posting-requirements plain-list"ulli Candidates need to be legally allowed to work in the US for any employer/li/ul/ul/div/divdiv class="section page-centered" data-qa="closing-description"divb Discover your inner Racker: a class="postings-link" href="****************** jobs/culture/" rel="noopener noreferrer"Racker Life/a/b/divdiv /divdiv The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states. /divdiv /divdiv·span style="font-size: 7pt;" /span The anticipated starting pay range for Colorado is: $ 68,600 - $ 91,400/divdiv·span style="font-size: 7pt;" /span The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $ 75,100 - $ 100,100/divdiv·span style="font-size: 7pt;" /span The anticipated starting pay range for California, New York City and Washington is: $ 82,300 - $ 109,700/divdiv /divdiv Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here. /divdivbr//divdiv#LI-VM1 /divdiv#LI-Remote/divdivbr//divdivbr//divdivb style="font-size: 10. 5pt;"About Rackspace Technology/b/divdivspan style="font-size: 10. 5pt;"We are the multicloud solutions experts. We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. /span/divdivspan style="font-size: 10. 5pt;" /span/divdivspan style="font-size: 10. 5pt;" /span/divdivb style="font-size: 10. 5pt;"More on Rackspace Technology/b/divdivspan style="font-size: 10. 5pt;"Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. /span/divdivspan style="font-size: 10. 5pt;" /span/divdivspan style="font-size: 10. 5pt;" /span/divdivbr//div/div/div/div

Job Details Experienced 933 Pleasanton Rd - San Antonio, TXDescription Summary: This position will play a key role in developing data models, conducting complex analysis, and driving data-driven decision-making using modern data tools to design, implement, and maintain high-quality data pipelines. The ideal candidate should be highly motivated and passionate about using data to solve real-world business problems and should have experience in working with cloud-based data platforms. Supervisory Responsibilities: This job has no supervisory responsibilities. Duties: All duties performed will be done accurately and in a timely manner. Design and implement data models, statistical analysis, and machine learning algorithms to extract valuable insights from large datasets. Build and optimize data pipelines to ensure efficient data flow and availability. Use data transformation and management tools to ensure high-quality, reproducible, and scalable data models. Collaborate with business stakeholders to understand data needs and provide actionable insights. Create and maintain dashboards, reports, and visualizations to communicate findings clearly and effectively. Work with cross-functional teams including data analysts, and IT to ensure seamless integration and operationalization of data solutions. Ensure data integrity, accuracy, and quality across all data-related projects. Monitor and analyze key metrics, identifying trends and anomalies, and make recommendations for improvements. Continuously evaluate and recommend improvements to the data architecture and data science tools used within the company. Education and Experience: Bachelor's degree in mathematics, statistics, computer engineering, or computer science preferred. Proven experience (5+ years) working as a Data Scientist, Data Analyst, or in a similar role. Any equivalent combination of education, experience and training that provides the required knowledge, skills and abilities to effectively perform Duties and Responsibilities as listed above. Knowledge, Skills and Abilities: Strong experience with Snowflake for data warehousing and managing large datasets. Proficiency in Microsoft SQL Server for querying, data manipulation, and optimization. Strong SQL skills and experience with database design, optimization, and ETL processes. Expertise in data transformation, testing, and documentation. Solid foundation in statistics, machine learning, and data analysis. Proficient in programming languages such as Python or R for data manipulation and analysis. Experience with version control and collaborative coding workflows. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Ability to work on a team and be proficient in collaborating with product owners and development teams to understand and contribute to vision and value of specific projects. Strong communication, presentation, customer service, and organizational skills. Ability to navigate competing requirements and technical restraints in innovative environments and work under pressure. Ability to effectively investigate and troubleshoot problems to identify potential causes and solutions. Ability to manage multiple projects simultaneously with limited supervision. Excellent communication and interpersonal skills. Ability to explain complex data science concepts to non-technical stakeholders. Detail-oriented with a strong focus on data accuracy and consistency. Strong business acumen and the ability to translate data insights into actionable strategies. Work Environment: Depending upon the area assigned, the environment could be a 100% clinical setting or office setting in a clinical environment. Exposure to communicable diseases, bodily fluids, toxic substances, ionizing radiation, medicinal preparations and other conditions common to a clinic environment. Mental / Physical Requirements: Requires manual dexterity, sitting, standing, stooping, reaching, kneeling, crouching, bending, walking, lifting up to 25 lbs. Close vision and ability to adjust focus. Reasonable accommodations may be made to enable otherwise qualified individuals with disabilities to perform the essential functions of the job. Other Duties As Assigned: The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. Responsibilities, knowledge, skills, abilities, and work environments may change as needs evolve.

Who you are: You enjoy building machine learning models and doing advanced statistical analyses. You enjoy combing through large data sets and finding patterns within the noise. You're autonomous and able to acquire new skills to solve a problem. You're always looking to innovate current processes and you get excited when tackling problems you haven't seen before. You have a strong analytics and programming background and are ready to start applying this to the world of data science. What you'll do: As a Data Scientist you will work on building/evaluating learning models to predict core business results. You'll derive impactful insights from data to drive intelligence for Unified and its clients. You will work with your fellow data science team members to define and scope data science solutions to solve complex problems. You will help build, improve, and test robust statistical and machine learning solutions that will drive impact throughout the organization. Need to have: 2+ years experience in a data analytics role 2+ years experience building Machine Learning models 2+ years advanced programming skills in Python High Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing Basic knowledge of statistics, algorithms, data structures, and machine learning Bachelor's or higher in a quantitative field Nice to have: Experience with digitalr advertising technology Experience with AWS Experience with Spark and the big data ecosystem Experience using Git and the Unix command-line Familiarity with Airflow and Docker Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.) Familiarity with BI tools (Tableau, Sisense) *************************** About Us Unified stands at the forefront of empowering marketers to make informed and impactful decisions through our industry-exclusive business intelligence platform, purposefully designed for social advertising. With a wealth of experience in collecting and enriching over 3 billion dollars of social investment data, we are fervently committed to providing Fortune 2000 brands and agencies with greater transparency into their diverse teams, tools, and strategies. At the heart of our offerings is the Unified Platform and service teams, meticulously crafted to ensure data quality, optimize investments, and address critical business inquiries. As a leading provider of advertising services, Unified takes a comprehensive approach to paid social advertising, boasting a best-in-class team of digital experts utilizing purpose-built technology to deliver operational excellence and holistic insights across major social platforms. We firmly believe that the best marketing insights drive optimal performance, and at Unified, we seamlessly deliver both. With industry-leading media experts supported by robust data and technology, we have over a decade of experience in managed service partnerships with some of the world's largest brands, maintaining an unwavering focus on digital advertising services and technology. Our proprietary technology provides our internal team and customers with a strategic and holistic real-time view of their digital investments. Pioneering paid social over 11 years ago, Unified holds a unique position as one of the select partners with direct API access to major platforms such as Meta, X, Snapchat, Pinterest, YouTube, LinkedIn, TikTok, and Reddit. Join Unified as we continue to redefine the landscape of digital advertising through innovation, expertise, and cutting-edge technology.

Northstrat is seeking a highly motivated We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets. If you have a passion for Data Science and are interested in working with a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Essential Job Responsibilities The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past. The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation. To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation. The candidate will work both independently and as part of a team to accomplish client objectives. Requirements Must have 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) Must have an active Security Clearance top secret and be SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning / natural language processing (e.g., Scikit-Learn, PyTorch, SpaCy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. Familiarity with various log formats such as JSON, XML, and others. Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupiter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLflow, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance: Hybrid work in San Antonio, TX. Preferred Requirements Experience with NOSQL databases such as Accumulo a plus Familiarity with deploying models as APIs or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production. Experience with Large Language Models (LLMs) / transformer models Experience with writing, updating java APIs Prior Experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer. Experience using restful APIs Familiarity with Agile Project team and task management environment. Experience with Zoom/Teams/Meet style team meetings Benefits Work/Life Balance Northstrat values true work life balance. We offer power of choice benefits designed to best meet the needs of you and your lifestyle. Our benefits programs are designed to support and encourage wellness, healthy living, retirement investment, and lifetime learning. Pay Range There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. We also offer competitive compensation, benefits, and professional development opportunities. Please refer to our Benefits section for additional details. Flex Time Northstrat does not mandate specific working hours. Although project requirements may dictate schedules, a Northstrat employee is only required to work an average of 8 hours per weekday over the course of a month. For example: John worked 12 hours on June 1st to meet a project deadline. On June 15th, John only worked 4 hours because he left early for a long weekend. John's IBA was not debited for time off because flex time allowed him to carry over those 4 hours from June 1st. Individual Benefits Account (IBA) To attract and retain the highest quality staff, Northstrat provides a unique and versatile benefits package, the Individual Benefit Account (IBA), which places the power of choice in the hands of our greatest asset - the employee. The purpose of the IBA is to provide attractive benefits to all full-time employees of Northstrat on a flexible basis that enables each covered employee to select a package that best suits his or her needs. Whether those needs are paid time off, medical expenses, prescription drug expenses, cash disbursement, or a combination of any of these, the IBA provides flexibility to help you meet your specific goals. The IBA can be used for such things as: IBA Benefits accrue each month in the amount equivalent to 50% of the employee's monthly compensation rate. That is, the effective dollar amount of this accrual is in addition to an employee's salary. Profit Sharing Plan (PSP) The PSP is a qualified retirement plan that Northstrat funds quarterly on the employee's behalf through the IBA in the amount equivalent to 25% (up to the IRS contribution limit) of the employee's compensation. That is, of the 50% accrual in the IBA, half of the amount accrued is applied to the PSP. Stock Options Because Northstrat is an employee-owned company, all new employees are offered stock options. Employees have the opportunity to receive additional stock options based on accomplishment of individual performance goals. Stock owners elect the Board of Directors and are directly impacted by the success of the company. Lifelong Learning Our culture promotes and nurtures a growth environment. We hire and scale rapidly to meet the needs of our partner customers. Through periodic company sponsored training events, and the ability to use IBA funds for reimbursement of work-related education expenses you will have the opportunity to continually grow your skills and abilities. Join Our Talented Team We hire the BEST employees and value each one. Since 2021, The Washington Post has recognized Northstrat among its "Top Workplaces". We think that your friends and family will like it here too, so we offer employee referral incentives. Northstrat is an Equal Opportunity Employer We are committed to fostering an inclusive, diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status or other legally protected status.

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. Why Join QinetiQ US? If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives. Position Overview QinetiQ US's Defense Modernization business unit is seeking a Mid Data Scientist who will provide comprehensive and advanced analytical support to AFIMSC (Air Force Installation and Mission Support Center) in San Antonio, TX, focusing on complex data analytics, tool development, wargaming support, and base resiliency analysis. The data scientist will manage and analyze data, enhance automation and efficiencies, and ensure compliance with relevant regulations. Administrative support tasks such as meeting coordination and report writing are also part of the role. Responsibilities Responsibilities * Analytical Support * Perform advanced data analytics tasks such as simulation, optimization, artificial intelligence and machine learning, advanced statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and process automation. * Use Data Fabric platforms (Envision, VAULT, Advana, Blade, UDL, etc.) and employ data science techniques using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.), existing tools developed with Visual Basic, and other available software for tool development and analysis. * Provide support for wargaming events such as Futures Game (FG), Long Duration Logistics Wargame (LDLW), Global Engagement (GE), etc., including advanced modeling and simulation analysis. * Data Management * Obtain necessary data from public domains if not provided by the government and manage government-furnished data, reports, and database access. * Enhance automation, error detection and reduction, data storage and access techniques, and data visualization for reporting. * Performance Metric Development * Continue to support current metrics using existing automated processes for collecting, compiling, analyzing, distributing, and reporting data. This includes enhanced automation, error detection and reduction, data storage and access techniques, and data visualization for reporting. * Identify and create additional metrics and tools to support leadership requirements. Continue to build on current automated processes for collecting, compiling, analyzing, distributing, and reporting financial services metrics. * Base Resiliency Analysis * Implement discrete-event simulation using existing models or COTs software to model base processes such as runway repair. * Identify scenarios and metrics to be simulated and analyzed, integrating simulation models with government-owned models to determine airbase capabilities over time. * Automation and Efficiencies * Implement automation into processes that are manually intensive or where efficiencies can be made. Develop apps and automated flows using the MS Power Platform suite and other data fabric platforms to eliminate or reduce manual tasks. * Identify and develop optimization models for processes to gain cost savings, time savings, or other relevant objectives. Required Qualifications Required Qualifications * Education and Experience * Degree in Data Science, Computer Science, Operations Research, Industrial Engineering, or a related field. * Alternatively, at least 24 semester hours in a combination of data science, operations research, mathematics, probability, statistics, computer science, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. * Master's degree plus at least 3 years of experience or a PhD. * Located in or able to commute to the San Antonio, TX, area. Preferred Qualifications Preferred Qualifications * Ability to obtain or already possess a SECRET security clearance, based on an investigation completed within the past 5 years. * Experience supporting AFIMSC or adjacent/subordinate organizations * Demonstrated experience in advanced data analytics and tool development within a government contracting environment. * Experience with Data Fabric platforms such as Envision, VAULT, Advana, Blade, UDL, etc. * Proficiency in COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.), and existing tools developed with Visual Basic. * Familiarity with wargaming events like Futures Game (FG), Long Duration Logistics Wargame (LDLW), Global Engagement (GE), etc. * Expertise in sustaining existing tools and developing new tools and analysis. * Familiarity with various mission and installation support activities to include Housing and Dorms, Security Forces, Environmental Management, Food Services, Child & Youth Programs, MWR Programs, AF Lodging, Deployment and Distribution, Communications Infrastructure, Emergency Services, and Combat and Command Support. * Experience with advanced analysis and tool development using various software platforms and coding languages. Company EEO Statement Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to *********************** or call ************** Opt. 4 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Data ScientistLOCATIONSan Antonio, TX 78208CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYAre you passionate about uncovering insights from complex data and driving data-informed decision-making? We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing, modeling, and transforming data into actionable solutions. In this position, you will collaborate with cross-functional teams, leverage advanced analytics techniques, and apply innovative tools to solve challenging problems. If you excel at blending technical expertise with creative thinking to deliver impactful results, we'd love to have you on our team! *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist, Quantitative Analyst, Big Data Specialist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Analyze and interpret complex data Develop predictive models Communicate data findings clearly Design and implement algorithms Ensure data quality and integrity Collaborate with cross-functional teams REQUIRED SKILLS Proficiency in data manipulation tools (e.g., Python, R) Experience with machine learning techniques Strong statistical analysis skills Knowledge of data visualization tools (e.g., Tableau, Power BI) Familiarity with big data technologies (e.g., Hadoop, Spark) Experience with data cleaning and preprocessing DESIRED SKILLS Experience with cloud platforms (e.g., AWS, GCP) Knowledge of deep learning techniques Expertise in natural language processing (NLP) Understanding of database management systems Experience in deploying models to production Strong problem-solving and critical thinking abilities PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

Grassroots Carbon is the leading grasslands restoration and soil carbon storage company based in San Antonio, TX focused on empowering U.S. ranchers to implement regenerative land management practices on grasslands across the U.S. In addition to enhancing soil health and promoting biodiversity, these regenerative practices have tremendous potential to combat climate change by drawing down and removing large quantities of atmospheric carbon dioxide into the soil. Grassroots Carbon is proud to have partnered with over 125 producers across 1.2 million acres in 20 states, to implement practices that restore grasslands, improve bird habits, build soil health and drive nature-based soil organic carbon drawdown through the healthy soils. By partnering with Grassroots Carbon, ranchers have access to additional revenue opportunities via our carbon credit program. Today, more than 41 percent of U.S. grasslands are used for grazing, accounting for over 350 million acres, but less than 5 percent of that land is managed regeneratively. These lands hold the potential to remove at least 500 million metric tons of carbon dioxide a year. We are on a mission to convert millions of acres of degraded grasslands into healthy, thriving ecosystems that sequester massive amounts of carbon and have notable partnerships with leading organizations, including Audubon Conservation Ranching, Texas Agricultural Land Trust, Understand Ag and Colorado State University's Soil Carbon Solutions Center to advance this mission. Built on a foundation of scientific rigor, quality, quality, and transparency, Grassroots Carbon has secured long-term contracts with leading companies, including Microsoft, Nestle, HEB, Olipop, Shell, Marathon Oil, Shopify, and Urban Villages to reduce their carbon impact and reach their sustainability goals. About the Lead Data Science role: As the Lead Data Scientist/Data Engineer, you will play a pivotal role in designing, building, and managing the data infrastructure that powers the predictive quantification and measurement, reporting and verification for soil carbon removal credits. You will collaborate closely with agronomists, land managers and software developers to develop data-driven insights that inform data science strategy and roadmap. A key aspect of this role involves building out data-driven Measurement, Reporting, and Verification (MRV) solutions that ensure the accuracy and transparency of our carbon removal projects. Additionally, you will lead the work to build out improved tools to quantify and predict soil carbon storage potential based on highly variable data sets. Responsibilities: Data Strategy & Leadership: Develop and execute a comprehensive data strategy that aligns with Grassroots Carbon's mission and objectives. Provide guidance and leadership to the working group of data science and engineering professionals Data Infrastructure: Design, implement, and manage scalable data architectures, pipelines, and databases that support large-scale quantification of soil carbon removals as well as Measurement, Reporting, and Verification (MRV). Data Collection & Integration: Oversee the collection, integration, and validation of data from various sources, including soil sensors, satellite imagery, and third-party databases. Ensure data accuracy, consistency, and integrity. MRV Solutions: Lead the development of data-driven Measurement, Reporting, and Verification (MRV) solutions to monitor, verify, and report on land management practices that drive soil carbon removals. Ensure compliance with industry standards and enhance the credibility of our carbon projects. Advanced Analytics & Modeling: Lead the development and deployment of advanced analytics, machine learning models, and predictive algorithms to enhance carbon measurement and monitoring capabilities. Collaboration: Work closely with cross-functional teams, including environmental scientists, software engineers, and product managers, to integrate data solutions into our carbon management platform. Reporting & Visualization: Create and maintain dashboards, reports, and visualizations that provide actionable insights to internal stakeholders and external partners. Continuous Improvement: Stay up-to-date with the latest trends and technologies in data science, data engineering, and environmental sustainability. Identify opportunities to enhance our data capabilities and drive innovation. Requirements Drive, passion, and relentless optimism with 8+ years of experience in data science, data engineering, or a related field, with a strong track record of leadership, results delivery and innovation. Bachelor's or Master's degree in Data Science, Data Engineering, Computer Science, Environmental Science, or a related field. PhD is a plus. Proficiency in programming languages such as Python, R, or Java. Experience with data warehousing, ETL processes, and database management (e.g., SQL, NoSQL). Expertise in cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies Strong background in statistical analysis, machine learning, and predictive modeling. Familiarity with GIS, remote sensing, and environmental data is highly desirable. Experience in developing MRV systems for carbon projects is a significant plus. Excellent communication and collaboration skills. Ability to translate complex data concepts into actionable insights for non-technical stakeholders. Passion for being at the forefront of the regenerative movement. Some basic understanding of soil carbon storage and regenerative land management practices is required, but this can be rapidly obtained on the job if there is a passion and interest in aligning with a fast-growing and purpose-driven organization Previous startup experience is preferred but not required. Understanding that this is a fast-paced and high-growth company is required Willingness to work from our offices in downtown San Antonio Benefits Health Insurance plan with $0 deductible and $0 co-pay Dental, and vision insurance plans Flexible spending account option. Open Paid Time Off Policy plus 9 paid holidays per year as listed in our Company Handbook Participation in our 401(k) savings plan Company-paid Life and AD&D coverage Educational materials and expenses to support continuing education opportunities *Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital* About Soilworks Natural Capital: Grassroots Carbon is proud to be a portfolio company of Soilworks Natural Capital which provides shared services to our fast-growing company. Soilworks is a private equity fund that invests in, incubates, and acquires companies to help accelerate the Regenerative Agriculture movement and is on a mission to prove Regenerative grazing is the most profitable way to ranch. Soilworks principles include better and healthier food, restoring plant and animal diversity, regenerating soil to store water and carbon, and creating more profitable family farms. Soilworks was launched by the co-founders of Scaleworks, a technology venture equity fund based in San Antonio, TX. We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background leads to a better environment for our employees and a better experience for our users and our customers. We are an equal opportunity employer and do not discriminate against protected characteristics. All candidates will be given the same consideration. *No visa sponsorship is available for this position*

Responsibilities H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information. As a Data Scientist I, your archetype is an ML / AI Expert + ML Engineer. Your passions include understanding best-in-class AI techniques, customizing algorithms to create HEB-unique differentiators, integrating AI techniques into H-E-B reusable end-to-end ML pipelines, refactoring DS algorithms and models based on the target platform to maximize platform efficiency, and optimizing the end-to-end learning pipeline (from exploration, development, building, and deploying to endpoint systems). Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do you have a: HEART FOR PEOPLE... willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers? HEAD FOR BUSINESS... understanding of best-in-class AI techniques? PASSION FOR RESULTS... ability to generate business-valued questions and data-driven solutions? We are looking for: - someone who constantly acquires and demonstrates in-depth expertise across end-to-end ML / AI lifecycle What is the work? - Mathematical programming (linear, mixed integer, non-linear, multi-criterion, stochastic, etc.) - Metaheuristics (SA, TS, GRASP, ACO, PSO, etc.) - Network Optimization (Shortest Path Problem, Minimum Spanning Tree, Maximum Flow Problem, Minimum Cost Flow, Chinese Portman Problem, etc.) - Optimization solver and languages (Google-OR-Tools, Pulp, Docplex, Gurobi, LP Solve, Cplex, etc.) - Discrete Event Simulation (Simpy, FlexSim, ExtendSim, Arena, Witness, etc.) Analytics / Design & Development: - Serves as an expert in selected mainstream ML / AI fields - Customizes open source ML / AI algorithms with solid proof from math reasonings - Extends best-in-class AI techniques from the latest ML / AI development, academic papers, industry / community; integrates those techniques to H-E-B reusable end-to-end ML pipelines; customizes algorithms to create H-E-B-unique differentiators - Optimizes end to end machine learning pipeline from exploration, development, building, deployment to endpoint systems) - Refactors DS algorithms and models based on the target platform to maximize platform efficiency - Applies an inquisitive nature about open source algorithms, their theories, and their implementation - Grows expertise in constructing distributed machine learning pipeline from scratch What is your background? - A related degree or comparable formal training, certification, or work experience - 3+ years of experience in a retail or retail-related decision science role - Well-rounded experience integrating math / science and platform engineering Do you have what it takes to be a Data Scientist at H-E-B? - Proficiency in DS techniques (classification, regression, optimization) - Some familiarity with big data ecosystems (e.g., Spark, Hadoop) and UNIX commands / scripting - Understanding of best-in-class AI techniques to customize algorithms that created H-E-B-unique differentiators - Programming language skills (SQL, R, Python, Scala, Java, C/C++) - ML optimization skills (GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba - Mainstream ML / AI skills (deep learning, computer vision, NLP / NLU, reinforcement learning, meta-learning, federated learning) - Strong research and analytical skills - Critical and lateral thinking skills - Ability to grow expertise in constructing distributed machine learning pipeline from scratch Can you... - Work in a fast-paced retail environment with frequently shifting priorities - Work extended hours; sit for long periods 08-2021 CPFA3232

Interclypse is seeking Data Scientists. The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career. Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. Requirements Education Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities Engage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise strategies for extracting semantic value from large datasets. Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions. Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations. Required Skills/Experience Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora) Experience with programming in R, Python, Java Experience with NoSQL databases ( e.g., MongoDB, Accumulo) Experience designing data models and approaches Experience working in a cloud environment ( e.g., AWS, Azure) Experience with Linux Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus Experience with Data catalogs and data management Ability to help visualize the data for analysis and to display results Why You Might Like This Job: You're tired of working for a massive organization. You want to work for an established company that values your stable career. You want to work with a team who loves their job and making cool stuff. You want to be part of a team focused on making a positive impact. You want to grow your skills in management or work toward becoming an expert. You want to have the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Benefits: Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity. Comprehensive time off and leave programs: 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays Parental Leave: 40 Hours Bereavement Leave: 24 hours. Military Reserve Leave (up to 80 hours, see employee handbook for details). Jury Duty Leave 16 hours. Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details). Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families Vision Insurance Dental Insurance includes orthodontics coverage Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support: reimbursement up to the federal max of $5,250 Company apparel: $200 for company apparel each year Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you! EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets. Essential Job Responsibilities The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past. The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation. To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation. The candidate will work both independently and as part of a team to accomplish client objectives. Minimum Qualifications 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. Familiarity with various log formats such as JSON, XML, and others. Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance: Hybrid work in San Antonio, TX. Desired Skills (Optional) Experience with NOSQL databases such as Accumulo is a plus Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production. Experience with Large Language Models (LLMs)/transformer models Experience with writing, updating Java API's Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer. Experience with restful API's Familiarity with Agile Project team and task management environment. Experience with Zoom/Team/Meet style team meetings.

Requirements Education Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities Engage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise strategies for extracting semantic value from large datasets. Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions. Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations. Required Skills/Experience Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora) Experience with programming in R, Python, Java Experience with NoSQL databases ( e.g., MongoDB, Accumulo) Experience designing data models and approaches Experience working in a cloud environment ( e.g., AWS, Azure) Experience with Linux Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus Experience with Data catalogs and data management Ability to help visualize the data for analysis and to display results Why You Might Like This Job: You're tired of working for a massive organization. You want to work for an established company that values your stable career. You want to work with a team who loves their job and making cool stuff. You want to be part of a team focused on making a positive impact. You want to grow your skills in management or work toward becoming an expert. You want to have the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Benefits: Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity. Comprehensive time off and leave programs: 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays Parental Leave: 40 Hours Bereavement Leave: 24 hours. Military Reserve Leave (up to 80 hours, see employee handbook for details). Jury Duty Leave 16 hours. Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details). Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families Vision Insurance Dental Insurance includes orthodontics coverage Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support: reimbursement up to the federal max of $5,250 Company apparel: $200 for company apparel each year Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you! EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

LABOR CATEGORY: Data Scientist Consultant, SME, and/or Manager (I, II, III or IV based on career ladder) JOB DESCRIPTION: Sehlke Consulting is seeking candidates with data science and decision analytics experience to support Defense Health Agency (DHA). Candidates will be qualified and capable of providing data science decision support in a business analytics environment. Candidates will be required to support analyses/analytics and informatics for data-driven decision making/data science. Candidates will need to be fluent with process improvement and performance planning, to include trend analysis, monitoring, dashboarding, statistical analysis, and analytical reporting. Duties and expectations include, but are not limited to the following: Use subject matter expertise to perform health studies using accepted data science techniques to address health service-related issues and identify trends and opportunities for improvement; Support informatics through research, analysis, and report data to support compelling, insightful, and effective recommendations and presentations; Develop prototypes of tools, programs, procedures, services, or databases to support the mission; Provide programmatic support to all initiatives, including SME coordination and on-site support, as directed; Support research and development necessary to create applicable methodologies for process improvement execution to support initiatives; Assist in development of local processes by providing research, analyses, and information for measurable outcomes for improvement procedures; Develop statistical analyses, analytical plans, predictive models, and maintain and utilize data management techniques to manage information flow; Develop and present visualization products (i.e., Tableau, QlikView, Microsoft BI, etc.) for descriptive, exploratory, inferential, diagnostic, predictive, mechanistic, and prescriptive analytics; Support database development and administration to ensure database integrity, optimize data support, develop process reports, and monitor operating system and user activities; As required, provide extended support to various time zone locations to achieve the client's mission. CLEARANCE REQUIREMENTS: Secret preferred EDUCATION REQUIREMENTS: Master's and/or bachelor's degree in Healthcare Administration, Computer Application, Computer Science, Public Health, Health Services Research, Epidemiology, Mathematics, Biostatistics, Statistics, Informatics, or related areas (specialized experience will be evaluated in lieu of bachelor's degree) preferred. CERTIFICATION REQUIREMENTS: Data Science and Statistical certifications preferred (i.e., Certified Analytics Professional (CAP), etc.) EXPERIENCE REQUIREMENTS: 2-15+ years of experience in related field; SAS database knowledge, SQL and other statistical programs, technical experience in data science and decision support, experience with Microsoft Office, Visio, Adobe Suite, Business Intelligence (BI) software preferred. Proven ability to synthesize disparate facts from multiple sources and coalesce into an accurate and useful analytic product, incorporating Service and MHS strategic goals for use by leadership in both tactical and strategic decision making. Demonstrated ability to provide accurate and timely analytical products containing well‐reasoned and cogent discussion points providing leadership with substantiated options or courses of action. Demonstrated ability to organize/participate/lead working groups to develop analytic products and byproducts or to develop/understand processes leading to effective optimization of analytic efforts. Demonstrated ability to communicate analytical discoveries and appropriate recommendations/mitigation strategies effectively and clearly to all levels of customers including Senior DHA leadership. Demonstrated advanced proficiency in Microsoft Office products PLUS additional software/hardware skills and capabilities. Ability to critically examine and evaluate, problem-solve. Demonstrated ability to undertake and complete multiple tasks with multiple deadlines simultaneously. Ability to deliver products on time, on schedule, within budget. Flexibility and ability to adapt to rapidly changing and often time-constrained environment. Experience working with Clinical Data Prior experience implementing or supporting clinical information systems (CHCS, AHLTA,and/or Essentris experience preferred, but not required) Experience in the area of medical/clinical/health data, health care data analysis and management. Healthcare Effectiveness Data and Information Set (HESIS) preferred but not required Experience with MHS data systems like MHS-Mart (M2) or similar MHS data sources ADDITIONAL REQUIREMENTS: Strong written and verbal communication skills, attention to detail, and organizational skills including optimal time management and ability to handle multiple tasks/projects. Ability to critically examine, evaluate, and problem solve. Ability to adapt to rapidly changing and time-constrained environment. To be eligible for employment, you must be fully vaccinated, except in limited circumstances where an employee is legally entitled to an accommodation, by November 22 nd or your start date, whichever is second in time. People are considered fully vaccinated for COVID-19 two weeks after they have received the second dose in a two-dose series, or two weeks after they have received a single-dose vaccine. If you think you are entitled to an accommodation, please advise your Sehlke liaison and they will consult our human resource leads for consideration. Founded in 2011, Sehlke Consulting is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Independently creates logical and physical data models using best practices to ensure high data quality and reduced redundancy Optimizes and updates logical and physical data models to support new and existing projects Maintains conceptual, logical and physical data models along with corresponding metadata Closely works with the Business Analysts and Technical Architects on medium complexity work to ensure the effective translation of business and technical requirements into the logical data model Follows standard naming conventions and coding practices to ensure consistency of data models Evaluates data models and physical databases for variances and discrepancies Independently validates data models and physical database for variances Ensuring Data Quality: They use Bigeye's data observability features to monitor data quality and identify potential issues. Understanding Data Relationships: They use Alation's data catalog to understand the relationships between different data assets. Data Lineage: They use data lineage to identify the impact of changes to data assets. Data Profiling: They use data profiling to determine the usability of data assets. Trust Flags: They use trust flags to signal the trustworthiness of data Data Tagging: Identifying data elements and applying appropriate tags to ensure proper tracking and measurements Data Quality Rule/Plan: Determine and assign appropriate data quality rules, testing, and plans are assigned to ensure veracity of data when engine runs. Required Experience: Must have played a key role in at least 2 or 3 mid to large sized projects Experience with ETL tools such as Informatica, DataStage, Ab Initio, etc. Experience with all USAA internal systems, policies, standards, procedures including IGC, RRAIT, IAI, IA, UDC/Alation, BigEye. About PRG With 20 years of success in the staffing industry, Peyton Resource Group focuses on matching talent to the precise needs of our clients. Your success is our commitment, and we back up that commitment by only recommending opportunities that align with your goals. Our candidate-centric approach ensures you are in the driver's seat of your career, and our team of recruiters will partner with you and support you every step of the way. PRG's dedication to service has been widely recognized throughout the industry. PRG has been awarded ClearlyRated's Best of Staffing award for 10 straight years, as well as the Business Journal's Best Places to Work in Dallas, San Antonio and Austin.

Translates or convert a logical data model into a physical data model. Defining the physical table, columns, primary keys, foreign keys, data types, constraints, and relationships within a chosen database. Tune the physical data model considering factors like indexing strategies etc. Generate database schema creation scripts (DDL) to deploy the physical database design for the target database. Experience on reverse engineering to generate physical models from a existing database or database scripts. Analyse existing data structures to identify areas for improvement and optimization. Understanding of different data modelling techniques (relational, dimensional, hierarchical) and their application in different scenarios. Proficiency in using data modelling tool (Erwin) to visualize and document the physical database design. Collaborate with database administrators to implement data models in database systems and optimize performance. Good communication skills to effectively communicate complex technical concepts to both technical and non-technical stakeholders. RequirementsGood to have - Conceptual Data modelling and knowledge of Industry models such as IIW, BDW, FSLDM and Acord