Data Scientist Jobs in Lubbock, TX

Min. required skills and qualifications: Bachelor's or Master's degrees in engineering, Mathematics, Statistics, Computer Science, philosophy or a related field. Strong problem-solving and analytical skills. Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter Passion for data-driven decision-making and a desire to learn. Understanding basic statistical modeling and data visualization. Candidates must be authorized to work without sponsorship. Visa sponsorship is not available for this role. The position is an Austin-based, onsite role. Key Job Responsibilities - Job role 1 (1 to 3 yrs exp) Collaborate with clients to understand business challenges and develop data-driven solutions. Analyze large datasets to uncover trends, patterns, and actionable insights for strategic decision-making. Develop and implement statistical models, machine learning algorithms, and AI-driven solutions. Experience with SAP ERP systems, including data extraction, analytics, and reporting. Proficiency in Python, R, or SQL for data analysis and machine learning. Understanding of Supply Chain business with good PP/MM knowledge will be good. Additional requirements for Job role 2 (1 to 3 yrs exp) Skilled in data wrangling, cleansing, and transformation of inventory-related datasets from SAP modules on Snowflake. Experience in building scalable pipelines, API-based data access, and workflow automation. Experience working with supply chain and operations teams to align data strategies with business objectives. Experience with inventory management, safety stock optimization, and SKU-level inventory flow analytics is a PLUS.

Great American Media is home to the family-friendly portfolio of brands Great American Family, Great American Faith & Living, and Great American Pure Flix. We are dedicated to our audience, and we believe that strong brands and high-quality programming create an unparalleled fan experience across the Great American Media portfolio. We are seeking a dynamic data professional with sharp business acumen, outstanding analytical abilities, and a demonstrated talent for effectively communicating actionable insights to join the team as a Product Analytics - Data Scientist. Ideal candidates will be able to work a hybrid schedule at our Texas Headquarters in Arlington, New York City office, or Scottsdale, AZ office (typically onsite Tues/Wed/Thurs and remote Mon/Fri). The Product Analytics - Data Scientist has experience working with diverse data sets and is passionate about transforming data into actionable insights. Our team plays a key role in driving business performance by providing insights to inform decision-making and identifying opportunities for growth. The Product Analytics - Data Scientist will play a critical role in using data to shape product strategies, improve user experience, and drive business outcomes. Duties and Responsibilities Data-Driven Product Strategy: Analyze product performance metrics (e.g., user engagement, adoption, churn) to uncover trends, generate actionable insights, and recommend strategies to optimize features and enhance the user experience. Impact on Business Outcomes: Leverage data to shape product strategies that improve user experience, align with business objectives, and drive measurable outcomes. Storytelling with Data: Translate data insights into compelling narratives and actionable recommendations, presenting to executive audiences on user growth, marketing performance, and product adoption. Strategic Collaboration: Partner with business leaders, product managers, and stakeholders to align roadmaps, prioritize initiatives, and identify opportunities for improvement using data-driven insights. Forecasting and Predictive Modeling: Develop models to predict user behavior, demand trends, and potential risks, providing guidance for strategic decision-making. Experimentation and A/B Testing: Design, execute, and analyze A/B tests with statistical rigor to validate hypotheses and support data-driven decisions. Performance Reporting: Provide regular performance reports (weekly, monthly, quarterly) to track progress and inform stakeholders. Ad Hoc Analyses: Respond to ad hoc analysis requests from leadership and key stakeholders to address critical business questions. Metrics and Dashboards: Create new metrics, dashboards, and insights to monitor activities, optimize performance, and scale outcomes effectively. Perform other duties as assigned. Qualifications Bachelor's in Business, Statistics, Computer Science, Economics, Marketing, MBA, Engineering, Mathematics, Finance 3-5 years of work experience in Data Science, Marketing Analytics, Product Analytics Consulting, Decision Science and/or Business Analytics 3-5 years in data querying languages (e.g., SQL) and scripting languages (e.g., Python), with experience using big data technologies (e.g., BigQuery, Hive, Hadoop, Spark) to manipulate and analyze large datasets. 3-5 years of experience in building business facing visualizations and dashboards (e.g., Domo, Tableau, Looker) Strong communication skills and ability to craft and present data driven analyses and insights to articulate performance and opportunities to key stakeholders. Experience working with multiple marketing and digital marketing teams directly to influence and shape campaign measurement, analytics frameworks and drive decision-making Experience in measuring digital marketing KPIs, ROI, marketing effectiveness, LTV, ROAS, sentiment analysis, etc. Knowledge of statistics and optimization techniques. Hands-on experience with large datasets (i.e. data extraction, cleaning, modelling, interpretation and presentation) Ability and enthusiasm to work in a fast-paced environment where deadlines can sometimes be tight, and stakeholder needs immediate. Self-motivated and results-driven. Preferred Qualifications Master's degree in Business, Statistics, Computer Science, Economics, Marketing, MBA, Engineering, Mathematics, Finance Experience managing and prioritizing multiple concurrent projects and driving initiatives in a large cross-functional environment Experience in a consumer technology company Experience with Streaming Metrics supporting an SVOD business. Experience with Amazon Web Services, particularly Kinesis, S3, Athena, Redshift, Glue Working Conditions This position is in an office environment and may require some travel. The hybrid schedule typically consists of being onsite Tuesday/Wednesday/Thursday and remote Monday/Friday. Physical Requirements To meet the essential requirements of this position, you must be able to: Sit for long periods of time; more than 30 minutes Stand for long periods of time; more than 30 minutes Type and complete other meticulous tasks Bend and reach Lift up to 15 pounds at a time Direct Reports None. Compensation, Benefits and Application Process Competitive base salary commensurate with experience. We offer a comprehensive benefits package including: 401(k) retirement plan with employer match Employer paid medical, dental and vision insurance Employer paid STD and LTD Employer paid life insurance and AD&D plus voluntary supplemental options Pet Insurance Comprehensive paid time off - vacation, sick leave and holidays GAC Media, LLC is an Equal Opportunity Employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Travel: At least 4x per year to collaborate with teams Salary: $145,000 - $165,000 (based on experience, ~5 years experience around $150-$160k) About the Role: We are seeking a talented Senior Data Scientist to join a dynamic and fast-paced team at a leading global technology company specializing in commerce media. In this role, you will be instrumental in solving complex challenges in adtech by building and deploying machine learning models and statistical algorithms to optimize large-scale data systems. You'll work alongside cross-functional teams to create data-driven solutions that drive business growth, enhance user experience, and improve targeting and optimization processes across digital platforms. Key Responsibilities: Develop scalable machine learning models, classifiers, and tools using regression, machine learning, and optimization techniques Design and deploy production-grade models on large data sets to optimize ad delivery and relevancy Apply statistical models and forecasting techniques to address challenges in targeting, cross-channel optimization, and A/B testing Provide leadership in the adoption of innovative machine learning techniques and data science methods Collaborate with marketing, engineering, and product teams to implement and improve data-driven strategies Work with large-scale data processing tools (e.g., Spark, Hive), cloud environments (AWS), and machine learning platforms Participate in project planning, team meetings, and strategic decision-making processes Qualifications: Advanced degree (PhD preferred) in Statistics, Computer Science, Engineering, or related field Expertise in Python and extensive experience with Spark and TensorFlow Strong background in machine learning, deep learning, statistical modeling, and analytics Advanced SQL skills, with experience working with large datasets and cloud-based systems (AWS) Passionate about using data science to drive business impact and innovation Extensive experience with A/B testing. Who You Are: A collaborative and innovative problem solver with a passion for applying machine learning to real-world challenges Comfortable working in a fast-paced, cross-functional environment with teams across multiple time zones A thought leader with a keen interest in developing cutting-edge data science solutions for complex business problems If you're ready to push the boundaries of data science in an exciting and rapidly evolving industry, we'd love to hear from you!

▶ Who we are With more than 13,000 stores in the U.S. and 84,500 stores globally, it is no wonder 7-Eleven, Inc. has been named an iconic brand. In addition to 7-Eleven stores, 7-Eleven, Inc. also operates and franchises Speedway, Stripes, Laredo Taco Company and Raise the Roost locations. Since inventing the convenience industry in 1927, 7-Eleven has built a rich 96-year history filled with beloved products like Slurpee, Big Gulp and Big Bite, and fan-favorite holidays like Slurpee Day and Bring Your Own Cup Day. Now, 7-Eleven is on a mission to contemporize the brand and redefine convenience - and we need your help. ▶ About This Opportunity The Company 7Drive is 7-Eleven's delivery division and we're on a mission to bring on-demand delivery to cities and towns throughout the United States. We serve our communities by connecting our network of drivers to restaurants, retailers, and grocers. Responsibilities: The primary purpose is to support Digital & Delivery teams with requisition creation/follow-up and budget management support activities (including but not limited to bi-weekly analysis of budget/forecast vs actuals, quarterly funding governance process, re-classifications, accrual determination, vendor invoice follow-up, financial planning). Gain a thorough understanding of Digital and Delivery budget across all products. Manage end to end process for invoice payment and collections with timely submissions. Work with Product teams to create requisitions corresponding to the respective project/product work items. Respond to PO/Requisition status requests from product teams & vendors. Interact with Accounts Payable and Procurement teams as needed regarding any changes to how PO/Requisitions are coded. Support management of Digital department budget - understand details of budget allocation, keep track of actual costs that hit department budget, accrue Opex costs as needed. Analyze Weekly/Bi-weekly actuals, help teams with validating accrual info for the products. Work with FP&A and Property accounting to drive budget re-classes as needed. Provide budget support to product teams to complete Business Plans, Budgets, Mid-Year Plan and Bi-Monthly Forecasts. Participate in monthly financial review meetings with FP&A and support product teams as needed (e.g. following up with internal teams or Vendors). Coordinate will all product teams to develop aggregated views across each product budget line regarding completion of ad-hoc FP&A requests. Develop dashboards and summary updates of budget across all budget line items for communication to SVP and other executives. Pro-actively analyze Beeline/Clarity time sheet reports to validate Capex/Opex splits and call out any anomalies. Work closely with Accounting for Financial and Analytical support for month-end close activities. Provide support as needed regarding FP&A budget analysis requests. Provide support to Agile PM/Chief of staff for Digital portfolio wide tasks. Qualifications: Bachelors/4-year Degree in Business or Finance. 2-3 years' relevant work experience, extensive knowledge of financial planning, modeling and reporting. Requires advanced computer skills using spreadsheet software, familiarity with database applications, downloading data from mainframe systems and use of word processing software. Strong written and verbal communication - ability to draft correspondence that accompanies requests for information in a clear and concise manner. Must understand the impact/use of multi-spreadsheet linking capabilities and must have ability to quickly learn systems for implementation/development. Critical thinking, analytics, and problem-solving skills.

Who we are: ConnectedX is focused on Digital Transformation and Product Engineering Services, enabling clients achieve their business, operating and technology needs for the digital age. Our unique industry-based, consultative approach helps clients implement digital transformation initiatives. Headquartered in Dallas, Texas, U.S. ConnectedX is a preferred partner for leading Fortune 1000 enterprises and is consistently admired by the clients and employees across the globe. Role: Data Scientist Plano, TX (Hybrid) Duration: 12+ Months Contract What you bring: • Strong experience manipulating data set and building statistical models, has master's or Ph.D. in statistics, mathematics with focus on ML, NLP, machine learning or another quantitative field. • Strong Knowledge and experience in statistical and data mining techniques - GLM/regression, Random Forest, Boosting, text and data mining. • Experience querying database and using statistical computer languages : R , Python, SQL etc. • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, , MySQL, etc. • Experience visualizing/presenting data for stakeholders using: Tableau, Business Objects, D3, • Exp with Prescriptive analysis, predictive analysis. • Exp leveraging big data and search technologies (e.g., Spark, Elastic Search, Natural Language Processing, Web Crawling) . • Knowledge of machine learning techniques and algorithms and be able to apply them in data driven natural language processing techniques. • Ability to quickly prototype ideas / solutions and perform critical analysis and using creative approaches for solving complex problems. • Exp with Automotive analytics a PLUS • Excellent written and verbal communication skills

We are seeking a skilled and motivated Snowflake Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with specific expertise in Snowflake. You will be responsible for designing, implementing, and optimizing data pipelines and ensuring the efficient and secure management of our data assets. Design, develop, and maintain scalable data pipelines using Snowflake. Migrations from Tableau dashboards into snowflake. Implement data integration solutions to ingest data from oracle into Snowflake. Optimize and tune Snowflake environments for performance and cost efficiency. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data pipelines. Develop and maintain documentation for data engineering processes and solutions. Monitor and troubleshoot data pipeline issues, ensuring timely resolution. REQUIRED SKILLS AND EXPERIENCE • Proven experience as a Data Engineer with a focus on Snowflake. • Strong proficiency in SQL and experience with ETL tools and processes. • Familiarity with cloud platforms such as AWS, AWS GLUE • Experience with data modeling, data warehousing, and data integration. • Knowledge of scripting languages such as Python • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. • Experience with PowerBI

About the Company: Everest DX - We are Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs', AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speed digital transformation. Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.For more information, please visit ************************** Role Overview: We are looking for an experienced Data Architect to design and implement data solutions on Azure Cloud. The role involves leading data migration and transformation projects, engaging with customers, driving business growth through proposals and POCs, and building internal data competency. Qualifications: Experience: 8+ years in data architecture, with 3+ years on Azure Cloud. Domain experience required : Consumer Packaged Goods Technical Skills: Proficiency in Azure Data Services (Data Lake, Synapse, Data Factory, etc.), ETL, and data governance. Soft Skills: Strong communication, leadership, and stakeholder management abilities. Preferred: Azure certifications and experience in customer engagement or business development. Key Responsibilities: Design scalable, secure, and efficient data architectures on Azure Cloud. Lead data migration and transformation initiatives, ensuring seamless integration and performance optimization. Engage with customers to gather requirements, propose solutions, and lead technical discussions. Develop proposals and execute POCs to showcase solution feasibility and drive business growth. Build organizational data capabilities through mentoring, training, and establishing best practices. Ensure compliance with data governance, security, and privacy regulations. Collaborate with cross-functional teams to align data architecture with business goals. Monitor and optimize Azure data systems for performance and scalability. Stay updated on industry trends to deliver innovative and cutting-edge solutions. Education: Bachelor's Degree and equivalent work experience. Location: Plano , TX ( Onsite ) Job Type: Fulltime Equal Opportunity & Diversity Statement At EverestDX, we are proud to be an equal opportunity employer committed to fostering diversity and inclusion in the workplace. Our employment decisions are based on merit, qualifications, and business needs, without regard to race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability, or any other characteristic protected by applicable federal, state, or local law. We believe that a diverse and inclusive workforce is essential for driving innovation, creativity, and success. We value the unique perspectives, backgrounds, and talents that each individual brings to our organization. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, promotions, transfers, discipline, compensation, benefits, and training. We recognize and appreciate the importance of providing a workplace where everyone feels valued, respected, and supported. We strive to create an environment that promotes fairness, equality, and opportunities for professional growth. Additionally, we comply with all applicable laws and regulations regarding equal employment opportunities and nondiscrimination. EverestDX is an equal opportunity employer, dedicated to diversity and inclusion in every aspect of our workplace.

Hiring on behalf of a client for the role of Job Title: Data Architect Responsibilities: 1. Develop and maintain end-to-end Data Engineering pipelines for deploying, monitoring, and scaling machine learning models. 2. Collaborate with data scientists, software engineers, and DevOps teams to ensure seamless integration of ML models into production systems. 3. Optimize model deployment processes by leveraging containerization technologies such as Docker or Kubernetes. 4. Implement continuous integration/continuous deployment (CI/CD) practices for ML model development lifecycle management. 5. Work closely with cross-functional teams to troubleshoot issues related to model performance or data quality in production systems. Requirements: 1. Bachelor's degree in Computer Science or a related field; advanced degree preferred. 2. Minimum 7 years of experience working as Data Engineer or similar role within a data-driven organization. 3. Experience with data modelling and database design is mandatory. 4. Strong understanding of machine learning concepts and algorithms is good to have 5. Proficiency in Python developing data pipelines/scripts. 6. Strong experience with SQL and PySpark is essential 7. Familiarity with cloud platforms like AWS/Azure/GCP for building scalable infrastructure solutions is highly desirable 9. Experience with version control systems like Git/GitHub for managing code repositories 10. Excellent problem-solving skills with the ability to analyze complex technical issues related to Data model deployments.

We've all thought about making the jump to Dubai or Abu Dhabi for obvious reasons, but there never is the perfect opportunity to do this as a data engineer. Well this unique hedge fund is looking to relocate talented data engineers into Abu Dhabi to join and accelerate an ever growing hedge fund. Who do you need to be? You're either: A Data Engineer within the Hedge Fund/ Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. Tech stack is open.

Job Title: Azure Data Engineer Job Type: Fulltime About the Role: We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have strong expertise in Azure Data Factory (ADF), PySpark, and SQL to design, develop, and implement scalable data solutions in a cloud environment. This role involves working closely with data analysts, data scientists, and other stakeholders to ensure efficient data processing and integration. Key Responsibilities: Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory (ADF). Implement and optimize PySpark-based data processing solutions in Azure Databricks. Develop complex SQL queries and stored procedures to manipulate and manage data efficiently. Integrate structured and unstructured data from various sources into Azure Data Lake and Azure Synapse Analytics. Ensure data quality, governance, and security best practices are followed. Monitor and troubleshoot data pipelines for performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into scalable solutions. Stay up to date with the latest advancements in Azure data services and implement best practices. Required Qualifications: 3+ years of hands-on experience as an Azure Data Engineer or similar role. Proficiency in Azure Data Factory (ADF) for orchestrating and managing data pipelines. Strong experience with PySpark for large-scale data processing in Azure Databricks. Advanced knowledge of SQL, including performance tuning and optimization. Experience with Azure Data Lake, Azure Synapse Analytics, and Azure Storage. Familiarity with CI/CD pipelines, DevOps, and Infrastructure as Code (IaC) in Azure. Understanding of data governance, security, and compliance best practices. Excellent problem-solving skills and the ability to work independently or as part of a team. Preferred Qualifications: Experience with Python, Scala, or other scripting languages. Knowledge of Power BI or other data visualization tools. Azure certifications such as Azure Data Engineer Associate (DP-203).

City: Las Vegas, NV or Dallas, TX or Atlanta, GA Onsite/ Hybrid/ Remote: Onsite Work Authorization: US Citizens ONLY Fulltime Client is seeking a highly skilled Senior Data Engineer to fill a full-time role for our client. The Senior Data Engineer is responsible for designing, building, and managing robust data platforms and tools to enable efficient processing and analysis of large-scale data. This role involves developing and maintaining scalable data pipelines, ensuring data quality, and deploying machine learning models into production. The position requires close collaboration with business teams to enhance data models for business intelligence tools, driving accessibility and fostering data-driven decisions across the organization. Responsibilities include creating real-time and batch pipelines to handle high data volumes and translating business requirements into scalable data solutions through collaboration with cross-functional teams. MUST Have: Expertise in Python, SQL and CI/CD practices. Hands-on experience with Databricks, Spark, and Fabric or equivalent tools. Experience in data migration using Azure services Key Responsibilities Design, develop, and maintain real-time and batch data pipelines to process and analyze large datasets efficiently. Create and maintain tools to ingest, curate, and provision first-party and third-party data for analytics, reporting, and data science. Develop advanced data products and intelligent APIs while monitoring system performance, troubleshooting, and integrating new features. Analyze data and design architecture to support business intelligence, AI/ML, and data products. Implement data platform architectures that meet analytical requirements, emphasizing scalability, maintainability, and flexibility. Provide technical leadership, mentoring, and code reviews, with a focus on test-driven development and CI/CD practices. Qualifications Experience 8+ years of experience as a data engineer with full-stack capabilities. 10+ years of programming experience. 5+ years of experience in cloud technologies (Azure, AWS, or Google Cloud). Expertise in Python, SQL and CI/CD practices. Hands-on experience with Databricks, Spark, and Fabric or equivalent tools. Proficiency in designing and developing data ingestion, processing, and analytical pipelines for big data, NoSQL, and data warehouses. Experience in data migration using Azure services (e.g., ADLS, Azure Data Factory, Event Hub, Databricks). Advanced knowledge of big data and streaming technologies (e.g., Apache Spark, Kafka). Skills Strong understanding of data architecture, data modeling, and data security best practices. Proficiency with BI tools like Power BI and Tableau. Knowledge of developing intelligent applications and APIs. Experience with RESTful APIs and messaging systems. Critical thinking, problem-solving, and process improvement abilities. Strong organizational and communication skills to work effectively in dynamic, fast-paced environments. Preferred Skills Experience with machine learning and ML pipelines. Familiarity with Agile methodologies. Proven ability to create technical documentation and deliver impactful presentations. Education Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (required). Master's degree in a relevant field (preferred). Compensation & Benefits: Base pay: 150k to 175k Dependent on experience +Bonus, Vacation, Medical etc.

Essential Duties & Responsibilities: • Develop and execute a comprehensive customer profile and analytics model and strategy that aligns with overall marketing objectives and business goals. • Update all systems to reflect customer profile accuracy. Remove duplication and correct errors or omissions as necessary. • Work closely with our marketing team, and our internal store leadership to ensure the availability, quality, and accessibility of data required for customer outreach, email reporting and analytics. • Extract actionable insights from complex email data sets. • Collaborate with the marketing and store leadership to develop sophisticated, targeted email lists based on customer behavior, customer segments, demographics, and preferences. • Implement advanced segmentation strategies across email and direct clienteling in support of stylist outreach. • Provide leadership and other key stakeholders with reporting and insights. • Proactively identify trends and business opportunities by bringing insight through detailed reporting and analysis which will allow for informed strategy and business development. • Build customer views to understand the impact of outreach on customers across all stages of the buying lifecycle including New User Acquisition, Engagement/Retention, and Reactivation. • Building & maintaining strong working relationships across departments or teams based on trust and mutual respect. • Communicating technical material with clear data visualization and compelling narrative to a range of audiences to provide insight into the factors impacting business performance. • You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Working Conditions: • Prolonged periods of sitting, required to use hands and fingers, to handle or feel. • Employee is occasionally required to stand, walk, reach with arms and hands, climb or balance and to stoop, kneel, crouch or crawl. • Physical requirements of the position/Light work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. • Employee is required to talk and hear. • Vision abilities required by this job include close vision. • Noise level in work environment is usually quiet to moderate. Qualifications: • Bachelor's degree in business, finance, accounting, statistics, or related field and 1 years' experience in data analytics or related field. • Proficient at navigating cross functional efforts and influencing across multiple departments and levels. • A balance of analytical skills as well as strong organization and communication skills is key. • Knowledge of email marketing, database marketing, data integration, and CRM. • Polished communication skills with ability to clearly convey complex data and information across a broad landscape of clientele. • You have a passion for working in a fast-paced agile environment. • Strong working knowledge of Excel and SQL's - ability to manipulate large quantities of data to achieve actionable results is a must. • Strong problem solving, analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes. • Strong organizational skills with a demonstrated ability to manage multiple priorities and lead complex projects with a high degree of ambiguity. • Ability to work onsite full time. Tootsies is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We are seeking an experienced Data Engineer to expand and optimize our data pipeline architecture while improving data flow and collection across cross-functional teams. The ideal candidate is a skilled data pipeline builder and data wrangler who thrives on developing efficient data systems from the ground up. In this role, you will collaborate with software developers, database architects, data analysts, and data scientists to support data initiatives and ensure a consistent, optimized data delivery architecture. You will play a key role in aligning data systems with business goals while maintaining efficiency across multiple teams and systems. Responsibilities: Design, build, and maintain scalable data pipelines. Develop large, complex data sets to meet functional and non-functional business requirements. Automate manual processes, optimize data delivery, and improve infrastructure scalability. Build and manage ETL/ELT workflows for efficient data extraction, transformation, and loading from diverse sources. Develop analytics tools that leverage data pipelines to provide actionable business insights. Support data-related technical issues and optimize data infrastructure for various business functions. Collaborate with data scientists and analysts to enhance data-driven decision-making. Write complex SQL queries and develop database objects (e.g., stored procedures, views). Implement data pipelines using tools like SSIS, Azure Data Factory, Hadoop, Spark, or other ETL/ELT platforms. Maintain comprehensive documentation on data pipelines, processes, and workflows. Requirements: Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or related field (or equivalent experience). 4-6 years of experience as a Data Engineer. Strong proficiency in SQL and T-SQL programming. Hands-on experience with ETL processes, data migration, and pipeline optimization. Experience working with relational (SQL) and NoSQL databases. Proficiency in Python or other object-oriented scripting languages. Experience analyzing and processing large, disconnected datasets. Expertise in Cloud technologies (Azure preferred; GCP or AWS also considered). Familiarity with Snowflake (a plus). Experience with message queuing and stream processing tools (Pub-Sub, Azure Event Grid, Kafka, etc.). Knowledge of data pipeline and workflow management tools (Airflow, Prefect, Apache NiFi, etc.). Experience with machine learning is a plus. Strong analytical and problem-solving skills. Ability to work in an Agile development environment. If you're a data-driven professional passionate about building scalable, high-performance data infrastructure, we'd love to hear from you! Apply now!

PO&G Resources is a rapidly growing, twenty-five-year-old private oil and gas company located in the Galleria/Uptown area of Houston, TX. With the ongoing expansion of our operations across multiple areas in the US and the launch of a second investor fund, the company is seeking a key individual to fill the position of Data Analyst . The candidate will report to the Supervisor - Regulatory and Production Reporting and work directly with the company's Operations Engineers and field personnel. Key responsibilities include: Prepares, monitors, and maintains oil and gas allocations. Monitors and maintains data entry associated with oil and gas volumes, end of month reports, chart integrations and crude oil run statement balancing. Monitors and maintains production volumes of company's operated properties to ensure run tickets/statements are recorded accurately. Works with field staff to ensure production is captured correctly. Trains new field operators in the use of digital capturing set-up and data entry. Maintains professional working relationships with all levels of personnel. Provides team with any production information or analysis of date as requested. Becomes proficient in and understands field flows. Becomes proficient in Avocet software and can accomplish simple delivery setups. Prepares partner reports of monthly reporting. Adheres to the company's values - integrity, ownership, urgency, deadlines, alignment, and innovation. Qualifications: Previous Data Analyst experience or bachelor's degree with zero to three years of experience: Strong interpersonal and analytical skills. Ability to work well in a collaborative environment with both management and engineering team, Proficiency with Excel is a must, proficiency in database management a plus, Self-starter who can pro-actively manage the completion of projects, Practical and pragmatic approach to problem solving; hands on worker, Well organized in order to plan work schedule and project completion, Ability to work in a fast-paced dynamic environment. Company Description: PO&G acquires conventional and unconventional oil and gas properties and increases their value by improving operations such as artificial lift, water flood optimization, and vertical infill drilling. The company's current oil and gas properties are located in: Texas, Oklahoma, Colorado, Kansas, Indiana, Wyoming, North Dakota, Utah and Mississippi. West Texas, Indiana, and Oklahoma are the company's largest operating regions. Current gross / net production is 5,000 / 3,500 BOE/D. The company plans to continue its historical growth rate by doubling production every three years. The company thrives as a result of its opportunistic, entrepreneurial culture, and has attracted select, high-impact personnel from a variety of oil companies and Wall Street firms. Company employees have the opportunity to involve themselves in a broad range of new activities as properties are acquired, providing constant challenge and growth opportunities. Direct exposure to management ensures a rewarding, non-bureaucratic work environment. Additional company information is available at www.pogresources.com.

Mandatory Certification should be in Databricks Certified Associated Developer for Apache Spark 3.0 This role is for Quality Engineering team where 70 of effort will be for developing automation frameworks for testing Remaining 30 effort will be on manual testing until its fully automated Exp 3 to 6 Years Must have good technical experience and should be able to provide technical solutions for multiple modules in parallel on need basis and bring the task to closure on time At least 2 years of development work experience in Hadoop programming HDFS using pyspark Hive based Data warehouse projects and with good Shell Scripting experience Responsible for understanding requirements and developing automation solutions to validate the data loaded by the Development team Excellent communication and documentation skill Very good at team playing and flexibility to work in different time zones based on project needs Should be able to work independently Prior Experience to any Databases like Oracle SQL Server ETL will be added advantage Nice to Have DQ Experience Autosys Jenkin RLM etc Proactive and have good communication skills to articulate technical issues Exposure to Confluence JIRA Skills Mandatory Skills : Big Data Hadoop Ecosystem, Python, SparkSQL Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Immediate need for a talented Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Irving, TX, Tampa, FL, New York, NY(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-62368 Pay Range: $45 - $47/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Scala + spark + Java Bigdata, Spark, Scala/Java, Hive, Impala Strong SQL skills including analysis, optimization Good to have: Iceberg, Ozone, Kafka, ML Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Key Responsibilities: Administer and maintain the SAS Viya SaaS. Configure and manage user permissions to ensure data security both externally and within user groups. Troubleshoot technical issues related to SAS Viya (on-premise or cloud-based). Support users with SAS Viya development, data management, and system optimizations. Collaborate with business users to understand their needs and provide technical support. Ensure system performance, reliability, and security compliance. Required & Preferred Qualifications: Experience in SAS Viya Administration or Development experience (both preferred). Expertise in data management and database concepts. Experience with data manipulation and cleaning techniques. Ability to troubleshoot technical issues related to SAS Viya (on-premise or cloud-based). Proficiency in user administration and permissions management. Hands-on experience as a SAS Viya (on-premise or cloud-based) administrator. Experience developing solutions using SAS Viya. Strong communication and collaboration skills to work with business users.

Job title: Lead Big Data Engineer (GCP Cloud) Duration: Long-term Skills Needed: 10+ years of experience in designing and building data pipelines in large-scale distributed systems. Lead the design, development, and maintenance of scalable batch and real-time data processing pipelines. Proficiency with Google Cloud Platform (GCP) and tools such as BigQuery, Dataflow, Pub/Sub, GCS. Strong experience with the Hadoop Big Data Ecosystem: HDFS, Hive, Pig, HBase, YARN, and others. Proficiency in Python and Scala for data engineering and scripting. In-depth knowledge of SQL for data manipulation, transformation, and analysis. Experience building both batch and real-time streaming data pipelines Solid understanding of Hadoop fundamental concepts Strong familiarity with CI/CD pipelines Excellent problem-solving skills with an ability to troubleshoot complex data systems and performance bottlenecks. Proven ability to lead and mentor teams of engineers, driving the development of cutting-edge data solutions.

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett