Data Analyst Jobs in Wenatchee, WA

We are SGS - the world's leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 98,000 employees operate a network of 2,650 offices and laboratories, working together to enable a better, safer and more interconnected world. The Senior Data Analyst serves as a digital workstream lead, supporting complex client engagements by developing and implementing data-driven solutions that guide business decisions and digital transformation. This role requires a deep understanding of analytics, data visualization, and consultative problem-solving to deliver high-impact dashboards, reports, and insights for clients. The Senior Data Analyst will independently develop hypotheses, validate results, and establish clear business cases, partnering closely with engagement teams to translate data into strategic initiatives. With strong technical and communication skills, this role is integral to developing client roadmaps for digital transformation and achieving sustainable business value. This position is 90-100% travel as we have clients all over America. If you are interested in this position, you have to be able to travel from Sunday to Thursday/Friday every week. KEY ACCOUNTABILITIES Serve as a primary data consultant, supporting complex client engagements by leading digital workstreams and delivering customized solutions that drive business transformation. Design and implement advanced dashboards and visual storytelling tools using Power BI, Tableau, and similar platforms to clearly communicate insights and support strategic decision-making. Develop and validate data hypotheses, establish a business case for initiatives, and translate analytical findings into actionable recommendations for senior leadership. Collaborate with clients to define and implement a digital roadmap, aligning data solutions with long-term business objectives and transformation goals. Execute project tasks independently with limited oversight, managing timelines and deliverables while ensuring high-quality outcomes. Partner with internal and client teams, including knowledge management and business identification groups, to develop data repositories and reusable data assets that enhance solution delivery. Develop procedural documentation, user guides, and training materials to enable effective client onboarding and knowledge transfer for long-term adoption and utilization of data solutions. Qualifications Bachelor's or Master's degree in Business, Finance, Economics, Mathematics, Computer Science, or related fields. Minimum of 3 years of experience in data analytics and digital transformation, preferably within a consulting environment. Proven expertise in building and deploying advanced data visualization and storytelling solutions using tools like Power BI, Tableau, or similar platforms. Proficiency in programming and coding languages such as Python, R, SQL, or equivalent to support advanced data analysis and automation. Strong consultative experience working with cross-functional teams to diagnose problems, build digital strategies, and deliver impactful solutions for senior leadership. SKILLS/ABILITIES Advanced data visualization and dashboard design skills using Power BI and other BI platforms to create compelling visual narratives. Strong programming and coding experience for data preparation, analysis, and automation using languages like Python, R, and SQL. Excellent problem-solving skills with the ability to translate complex data into clear, actionable insights that align with business objectives. Ability to work independently and manage multiple projects with limited supervision, maintaining a high level of quality and attention to detail. Strong communication skills with the ability to convey technical findings to both technical and non-technical audiences, including C-level executives. Consultative mindset with experience in driving digital transformation and data adoption within diverse business environments. OTHER COMMENTS/REQUIREMENTS • Candidate may be located anywhere in the United States with the ability to travel as needed (up to 100%). • Some international travel may be required based on project needs. • Must be an American Citizen. Additional Information SGS is an Equal Opportunity Employer, and as such we recruit, hire, train, and promote persons in all job classifications without regard to race, color, religion, sex, national origin, disability, age, marital status, sexual orientation, gender identity or expression, genetics, status as a protected veteran, or any other characteristics protected by law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skills, and/or abilities required. This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts the company's rights to assign or reassign duties and responsibilities to this job at any time. If you are applying for a position within the United States and you have difficulty completing the on-line employment application because of a disability, please call ************ for assistance and leave a message. You will receive a callback. Please note, this phone number is not for general employment information but is only for individuals who are experiencing difficulty applying for a position due to a disability. #IND

Our client is seeking a Data Analyst to join their team! This position is located in Bellevue, Washington or Overland Park, Kansas. Track requests, manage deliverables, identify data sources, and ensure secure access Define standards for data collection, consistency, and automation; improve accuracy and usefulness Gather complex data inputs from multiple sources, both internally and externally; identify new data sources to enhance business outcomes and support strategic and tactical objectives; provide insights and prepare reports on findings Assess business needs, prioritize projects, and drive new reporting requirements to completion Work cross-functionally to enable data architecture and solutions that best meet business analytics and reporting needs Drive clarity of requirements and ensure delivery meets agreed-upon standards Desired Skills/Experience: Proficiency in SQL and scripting (Python, R) Experience with Power BI for data visualization Skilled in designing data validation tests and maintaining data quality Understanding of ETL processes, data transformation, and validation Strong analytical and problem-solving skills to perform root-cause analysis and align data to business needs Strong understanding of Supply Chain Operations with the ability to link operational decisions/impacts to data insights and analysis Excellent communication skills to collaborate with data engineers, product owners, and analysts for requirement validation and feedback Benefits: Medical, Dental, & Vision Insurance Plans 401K offered $27.86 - $39.80 (est. hourly rate)

The Strella Mission More than 40% of all fresh produce is wasted in the US, which accounts for over 17 billion dollars in lost product annually and contributes more carbon dioxide emissions than all of US transportation combined. Globally, food that is never consumed accounts for 7% of the global freshwater supply and 308MM hectares of land. Our goal is to reduce these drastic numbers by making the produce supply chain smarter through data-driven decisions. Strella uses proprietary sensors to predict shelf life in the food supply chain. We use this information to reduce food waste and help deliver better quality produce to consumers. We have been commercialized for 5 years and are currently in our growth stage. Role We are looking for an ambitious data scientist with 3+ years of experience to help us build the next generation of our modeling and prediction engine. The applicant must have a strong focus on delivering action-based results that can help customers make better decisions using data. Experience in agriculture is a plus. As a startup, we seek applicants who are self-starters and can wear multiple hats. We are in a rapid growth stage and are looking for people who thrive in a fast-paced environment while maintaining quality. This is an in-person role in either our Seattle or Wenatchee WA office. Responsibilities Partner with developers, product managers, and business partners to frame problems mathematically and in the right business context Perform exploratory data analysis to gain a deeper understanding of the problem Construct and fit statistical, machine learning, or optimization models Implement advanced analytics techniques to identify key factors impacting the quality and shelf life of fruits Develop predictive models and machine-learning algorithms to predict the shelf life of different types of fruits Design experimentation strategies for evaluating our models Collaborate with developers to implement algorithms in production Analyze experimental and observational data; communicate findings; facilitate launch decisions Skills Bachelors, M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience 3+ years of professional experience, startup experience required Proficiency in causal inference, experimentation, signal processing, and/or machine learning Proficiency with Python and working in a production coding environment Passion for solving unstructured and non-standard mathematical problems End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits 401k matching Health & Dental Unlimited PTO

Our client is implementing Asset Management software across multiple departments and is looking for a Business Analyst to support the rollout. Key responsibilities include: Ensure a clear understanding of the department's business requirements and user needs Determine if these requirements can be met by Lucity (EAM), which has already been implemented in other departments Translate requirements into technical solutions within Lucity or other EAM tools Configure and deploy Lucity for the department's needs Create basic analytics Onboard users Provide after go-live support This person will have the support of another analyst on the team for about 15% of their time for questions or best practices. Compensation: The compensation range for this position is $42.00/hr. - $61.00/hr. (approx. $82,000 - $122,000 annualized). Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. Benefits: Medical, Dental, Vision, Hearing, Employee Assistance Program, Life, AD&D, and Long-term Disability Insurance, Retirement program with a 3% company match (no vesting limitation), interactive employee reward & recognition program, and equipment provision. - EEO Employer - E-Verify Employer This is an initial 12 month contract role with possible extension and a high probability for conversion to FTE for interested individuals. Location: Hybrid 2 days in Redmond, WA preferred.

Data Trainee About the Program: People Tech Technology is pleased to offer a comprehensive Data Training Program designed for individuals looking to start a career in data science and analytics. This program aims to equip participants with the essential skills and knowledge required to become proficient data professionals. Key Responsibilities: Training Participation: Attend and actively engage in all training sessions, workshops, and assignments. Learning and Development: Utilize training materials, complete exercises, and participate in discussions to deepen understanding of data science and analytics concepts. Project Work: Apply learned skills by working on real-world projects and assignments with guidance from experienced mentors. Data Analysis: Conduct data cleaning, analysis, and visualization using various tools and techniques. Collaboration: Work collaboratively with peers and mentors to foster a productive learning environment. Feedback and Improvement: Provide and receive constructive feedback to and from peers and mentors to continually improve skills and program experience. What You Will Learn: Data Fundamentals: Understanding data types, data collection, and data cleaning techniques. Statistics and Probability: Basic concepts of statistics and probability used in data analysis. Programming for Data Science: Using programming languages such as Python or R for data manipulation and analysis. Data Visualization: Creating visualizations using tools like Matplotlib, Seaborn, or Tableau. Machine Learning: Introduction to machine learning concepts, algorithms, and model evaluation. Big Data Technologies: Understanding big data frameworks like Hadoop and Spark. SQL and Databases: Writing SQL queries and understanding database management. Data Storytelling: Communicating insights effectively through data storytelling and presentation. Qualifications: Education: Masters in Computer Science, Statistics, Mathematics, Engineering, or a related field (or currently pursuing one). Basic Programming Knowledge: Familiarity with basic programming concepts, preferably in any programming language. Passion for Data: Demonstrated interest in data science and analytics. Analytical Skills: Strong analytical and problem-solving skills. Communication Skills: Strong verbal and written communication skills. Preferred Skills (Not Mandatory): Prior Experience with Data: Any prior experience with data analysis or related fields is a plus. Knowledge of Statistics: Basic understanding of statistical concepts and methods. Benefits: Hands-on Training: Gain practical experience through real-world projects. Mentorship: Receive guidance and support from experienced data professionals. Career Opportunities: Potential for full-time employment opportunities upon successful completion of the program. Networking: Connect with industry professionals and like-minded peers.

The Moderator is responsible for running the day-to-day activity for on-site collection projects. They lead study participants through the process from start to finish and collect all the information needed from participants. The Moderator manages the devices used in on-site collection and makes sure all collection data is properly stored and uploaded. Entry-level position. Duties and Responsibilities Greets and briefs study participants. Moderates the collection session with study participants. Gathers consent and NDA forms from study participants. Collects demographic data and payment info from study participants and updates this information in tracker. Manages the storage and upkeep of collection devices (phones, watches, computers, etc.) Additional duties as required. Requirements Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint. General knowledge of online communication. Willingness to work overtime, night shifts or weekends if necessary. Extensive travel required Ability to follow directions and perform time bound tasks accurately and efficiently. Ability to perform repetitive tasks without degradation in quality. Detail-oriented problem-solving mindset. Organized and focused enough to work independently as a role player within a team environment.

Investment Research Analyst Seattle, WA Our client is a rapidly growing Registered Investment Advisor (RIA) and boutique family office. We are looking for a skilled Investment Research Analyst to become part of their team, collaborating closely with the Director of Investment Management and the CIO. The ideal candidate for the Investment Research Analyst role will be a highly motivated team player who embodies the Firm's Core Values. This position offers a great opportunity to influence the success of the firm. Their mission is to support wealth creators, entrepreneurs, innovators, and their families by guiding them through significant liquidity events and enhancing their positive impact on their communities and the world. If you possess a relentless drive to succeed and align with this vision, we encourage you to apply! Requirements The Investment Research Analyst is responsible for assisting the advisory team and ensuring timely responses to client inquiries regarding investment information. The ideal candidate will be adept at collecting data from a variety of sources, including internal investment platforms, research analysts, portfolio management teams, and written or digital news outlets. As a key member of the Investment Team, this role focuses on tasks related to client interactions concerning investment matters. These duties include both indirect and direct communication with clients-indirect tasks such as preparing client reports, presentation materials, research summaries for advisors and clients, and quarterly updates, as well as direct tasks such as in-person meetings, phone calls, and written correspondence. Additional responsibilities involve conducting research on portfolio performance, investment strategies, manager searches, and technology, along with providing support for trading and investment operations. A key component of the role also involves supporting family advisors. Research analysts must have knowledge of financial markets, investment acumen, willingness to learn, congenial demeanor, and be a team player. This role will communicate, coordinate, and support the investment team's interactions with other departments - client service, operations, and family advisors/wealth planners. Client Portfolio Analysis and Communication: Analyze individual client portfolios and effectively communicate insights to clients and/or advisors. Responsible for the creation, formatting, and distribution of client reports, such as performance summaries, attribution analysis, and investment insights. Prepare reports on cash positions, review cash positions, and share findings with the advisory and client service teams for feedback and input. Collaboration with Portfolio Analyst: Work with the Portfolio Analyst to monitor and assess client portfolios regularly, providing actionable recommendations to clients or the advisory team. Client Communication: Maintain communication with clients regarding capital markets, investment environments, and specific portfolio insights. Attend client meetings to provide updates and present investment strategies. Ad Hoc Research and Reporting: Handle special client research requests and offer investment recommendations tailored to their needs. Manage and organize client information related to their investment portfolios. Use various investment platforms and tools to generate detailed client reports. Ad hoc client research requests and investment recommendations. Administers client information related to investment portfolio. Utilize various investment systems and analytical tools to produce client reports. Create client books used in portfolio review meetings. Write quarterly commentary on fixed income investments and strategies. Respond to ad hoc requests by generating customized reports. Complete necessary consultant questionnaires and ensure the accuracy of internal data. Process Improvement: Identify and implement strategies to streamline department processes and improve operational efficiency. Market Research and Awareness: Stay up to date on capital market trends and engage with asset managers and research firms to stay informed about market developments that could impact client portfolios or future investments. Contributions to Research and Investment Strategy: Provide valuable research insights and analysis, contributing investment ideas and content for investment committee meetings. Regularly review systems and processes to recommend and implement best practices and continuous improvement. Continuous Process and System Improvements: Identify opportunities for enhancing or automating processes and systems to improve efficiency and reduce manual tasks. Benefits Full-time position / exempt status. Competitive salary and incentive bonus structure. Full benefits package including generous paid time off, health, dental, vision, life, disability, and 401(k). Benefits: Fully paid premiums for medical/dental/vision, short-term and long-term disability, and life insurance. 401(k): 100% company match up to 3% of your annual pay. Career + Professional Development: training/certification/licensing/dues reimbursement, internal development planning, executive coaching and ongoing development programs. Parking available. Wellness reimbursement. Regular team off-sites, events, including an annual team retreat. Access to Family Office Network vendors and preferred pricing discounts.

Cooley is seeking a Data Engineering Business Analyst to join the Data Science & Engineering team. As the leading technology law firm in the world, Cooley is determined to become a leader in the digital practice of law. Reporting to the Director of Data Science, the Data Engineering Business Analyst will focus on data engineering analysis to support a data lake rollout and data migration initiative. This role will be responsible for collaborating with stakeholders to understand data requirements, document business needs, and translate them into actionable technical specifications. This role is crucial to ensuring the successful migration and integration of data while maintaining data quality, governance, and compliance standards. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: Collaborate with business stakeholders and clients to understand data requirements, objectives, and priorities for the migration project Conduct data analysis and profiling to gain insights into data pipelines, structures, and quality Document and prioritize business needs and requirements for the data lake and data migration Translate business requirements into detailed technical specifications and user stories for data engineering and development teams Partner with data engineers and architects to design and implement data pipelines, ETL processes, and data transformations Perform data validation, testing, and quality assurance to ensure accuracy, completeness, and consistency of migrated data Support business users and stakeholders during user acceptance testing (UAT) and post-migration activities All other duties as assigned or required Skills and experience: Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 3+ years of experience as a Business Analyst with a focus on data engineering, analysis, and requirements gathering for data migration projects Senior candidates must have 5+ years' directly applicable experience Strong understanding of data engineering concepts, methodologies, and tools, with hands-on experience with data lakehouses (e.g., Databricks, Snowflake, Azure Data Lake, Azure Data Factory, etc) Proficiency in SQL for data analysis, manipulation, and querying Familiarity with data governance and metadata management tools Exposure to cloud tools and integrations, particularly in enterprise-scale data management platforms. Understanding of relational, dimensional, and columnar data models Working knowledge of reporting tools such as Microsoft Power BI, Jupyter Notebooks, and similar platforms Preferred: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field Professional certifications related to Azure, Snowflake or Databricks integration Experience with Agile methodologies and project management practices Knowledge of performance tuning for large data volumes and enterprise-scale datasets Familiarity with Delta Live Tables, Databricks Unity Catalog, and other Databricks advanced features Competencies: Comfortable assuming leadership roles in cross-functional, matrixed teams Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to non-technical audiences Ability to influence and collaborate with multiple stakeholders across various departments (legal, IS, etc.) Strong analytical and critical thinking skills Strong written and verbal communication skills to collaborate with cross-functional teams and non-technical stakeholders effectively Ability to work independently and as part of a team in a dynamic, fast-paced environment Excellent analytical and problem-solving skills with attention to detail Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $100,000 - $145,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources. RequiredPreferredJob Industries Other

Seeking a Senior Data Engineer for the following role - Basic Qualifications 5+ years of relevant data engineering experience with specific experience in Airflow, Snowflake and Databricks. 1+ years of experience in Python. Strong understanding of data modeling principles including Dimensional modeling, data normalization principles. Good understanding of SQL engines and able to conduct advanced performance tuning. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills - written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Familiarity with Agile Scrum principles and ceremonies. Preferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required. 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required. 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Education BS in Computer Science, Information Systems The estimated pay range for this position is USD $85.00/hr - USD $91.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Job Title: Sr Anaplan Analyst Duration: 12+ Months Only W2 Come join our Finance Center of Excellence as the Sr. Anaplan Analyst and meaningfully contribute to the transformation of reporting and decision making in finance. Data is the critical foundation for how we develop our financial planning, and this role will be a critical business partner in leveraging data to provide visibility into financial results and drive better decision making. As the Sr. Anaplan Analyst, you will leverage your broad technical skills to create a fit-for-future financial forecasting & reporting framework. You will be responsible for developing new Anaplan models and connected reporting while enhancing the existing environment. Specifically, you will be responsible for the following tasks: Business Intelligence & Data Analytics: Collaborate with business stakeholders to identify and meet data requirements, and to design and create custom reports and dashboards Lead the design and development of new development and enhancements, including end user onboarding Provide expertise in data analysis and data visualization to guide strategic decision-making Identify, analyze, and interpret complex data sets and trends to support business decision-making Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures Collaborate with teams to integrate systems and data effectively Train end users on new reports and dashboards, and provide technical support as needed Anaplan Model Building: • Build robust and sophisticated financial models in Anaplan that support FP&A activity • Maintain and continuously improve upon models and processes to support FP&A as business needs evolve • Identify opportunities for automation and implement driver-based planning and forecasting • Facilitate change management for models as they are rolled out to new user groups • Develop and coach fellow Anaplan model builders to leverage the development best practices • Assist with the optimization of the Anaplan models, reduce sparsity, and enhance performance Assist with data integration activities to downstream systems and access management Enhance overall forecast/plan governance to ensure that the process is operationalized and executed in a consistent manner every time, provide stewardship to address cross-functional governance issues Assist with delivering Anaplan training and support to ensure the Company's self-service model is embraced; ensuring key users have the resources and dynamic workspace they need to operate the forecast tools / models and produce the deliverables of accountability Minimum Qualifications: Bachelor's Degree in Related Field, or equivalent combination of education and experience Anaplan & FP&A: Anaplan Model Builder Certification with 2+ years of significant work experience driving development using Anaplan in complex business environment Experience in the full development life cycle of at least 3 Anaplan models Manage Data Integrations & Data HUB - Partner with extended IT teams like integration into data warehouses Agile project delivery experience 3+ years of experience in a Corporate Finance function or in a financial consulting role 4+ years of relevant experience in financial planning, budgeting and forecasting, expense allocations and driver based forecasting Behavioral: Excellent analytical and problem-solving skills Able to successfully work cross functionally and train a variety of skill levels as appropriate Ability to work independently and collaboratively in a fast-paced environment Earn confidence and trust by demonstrating ownership, commitment, and follow-through in achieving results

Join a growing team dedicated to improving power and water efficiency in data centers. This role is pivotal in sustainability initiatives, contributing to accurate measurement and certification of data centers for key sustainability metrics. What You'll Do: ✔️ Collaborate with stakeholders across business functions to align technology solutions with strategic goals. ✔️ Analyze and translate business requirements into functional and technical specifications. ✔️ Support sustainability efforts, ensuring data accuracy for certifications. ✔️ Liaise between operational teams and business stakeholders to optimize business processes. ✔️ Manage multiple projects effectively while balancing priorities. What You Bring: ✅ 5+ years of experience in program/project management or business analysis. ✅ Strong proficiency in Kusto Query Language (KQL) and Power BI. ✅ Experience with data center operations and sustainability metrics is a plus. ✅ Background in technical specifications, electrical/mechanical engineering theories, or military (Navy) experience is highly valued. ✅ Ability to read and interpret technical schematics and collaborate with development teams. Why Join? 🌍 Contribute to global sustainability goals. 📈 Gain deep insights into data center operations and work on mission-critical projects. 🤝 Collaborate with diverse teams across the globe and make a tangible impact. If you're passionate about sustainability, data analysis, and program management, this is your opportunity to be part of an innovative team driving real change!

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life: We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Data Engineer Responsibilities Develop, optimize, and maintain ETL pipelines using Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Minimum Qualifications: Bachelor's degree in Computer Science, Data Engineering, or a related field. 3-5+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: 100% Onsite in Seattle, WA Salary Range: The salary for this position is between $110K/year- $140K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Must Have's: Salsify and Business Analyst Responsibilities: 1. Supporting the business as the platform owner for Salsify - a. Changes to Salsify configuration as required to address service requests from the business b. Resolving data issues that block imports from source systems (UBI) c. Working with the channel management team on changes to distributor templates (via Salsify) d. Complete the implementation of the product catalog for internal use, which includes working with the business to address content issues (missing images, products in a non-publishable state, products in Salsify that are not in Oracle, etc.) e. Support the EMEA team with imports from ProPlanetinto Salsify f. Support the business with NPIs to ensure products are fully attributed in Salsify g. Support the ongoing research and resolution of missing data in Salsify h. Support the integrations with Salsify and Aprimo for the import of digital assets i. Support the business as we clean up products in Salsify (application of photographs and documents to their correct attribute in Salsify) 2. Supporting the AI team as their business analyst - a. Work on intake requests for new projects and requests from the business related to AI - identify the information required to complete an intake request and demand in LPM (SNOW) b. Work with the business to identify and clearly define detailed functional requirements for each assigned project / intake request c. Work with the QA team to define acceptance criteria for each project / intake request d. Work with the business to support their user accept testing activities e. Work with the AI development team to answer questions regarding requirements and functional specifications f. Work with the business to define and measure the outcomes of implementing AI projects and service requests g. Develop training materials and deliver training to our business users who are adopting the AI platform/tools/capabilities we are building and deploying Years of Experience: 10.00 Years of Experience

Job Title - Senior Data Engineer FTE Only Experience - 8 to 12 Years Note: Only Visa Independent Candidate Skill Matrix mandatory. This job is 50% Testing and 50%DE. Hacker rank in client round Must. Job Qualifications 3 - 5 years' experience in Quality validating ETL pipelines and Data Warehouses Expert SQL knowledge and experience working with relational databases as well as a working familiarity with a variety of databases. Good experience in data analytics, data engineering, data modeling, data warehousing, and big data platform Strong programming (Scala/Java) or scripting skills (Python) Experience with but not limited to JUnit/TestNG/BDD or similar tools Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Databricks, Spark etc. Experience in working with large datasets (Terabytes or more) Ability to operate effectively in a team-oriented and collaborative environment Excellent communication skills and ability to interact with all levels of end users and technical resources

Curative AI, Inc. is seeking a highly skilled and experienced Data Engineer for our rapidly growing company. Our cutting-edge AI platform and tools will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. You will play a pivotal role in designing, building, and maintaining the data infrastructure that supports our data-driven initiatives. You will work closely with cross-functional teams to identify and prioritize data infrastructure needs, develop and implement data pipelines, and ensure the quality and reliability of our data. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high performing teams, fostering career growth, and creating a positive work culture. Let's make healthcare smarter together. Responsibilities: Design, build, and maintain data pipelines and data storage systems Develop and implement data quality and data governance processes Implement data security measures to protect sensitive information Monitor and troubleshoot data infrastructure issues Collaborate with data scientists and analysts to understand data needs and requirements Qualifications: Currently located in the Seattle Metro Region and able to work hybrid on-site a minimum of three days at our Bellevue location Bachelor's degree in Computer Science, Data Engineering, or a related field 5+ years of experience as a Data Engineer or a related role Strong programming skills in Python and SQL Experience with cloud computing platforms such as AWS, Azure, and/or GCP Experience with data warehousing and data lake technologies Excellent understanding of data modeling and data architecture principles Strong problem-solving and analytical skills Ability to work independently and as part of a team Health care experience, notably experience with RCM solutions, highly desired Public cloud experience (AWS, GCP, and/or Azure) desired Humble approach to learning, dedicated team player, and excited about innovation Benefits: Competitive salary, early-stage equity, and benefits package Opportunity to work on cutting-edge projects and make an impact on the company's success Collaborative and supportive work environment Chance to shape the future of AI and drive innovation in the industry Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.

Job Title: Senior Data Engineer Duration: Long Term About WaferWire: WaferWire Cloud Technologies (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment). Job Description: We are seeking a highly experienced Senior Data Engineer with expertise in platform management, data integration, ETL pipeline development, and data ingestion. The ideal candidate must have MSX experience and a strong technical background in Azure-based data solutions. Key Responsibilities: Design, develop, and maintain scalable data pipelines for seamless data integration and ingestion. Work extensively with Azure DevOps, Fabric, Synapse, Azure Databricks (ADB), SQL, and ADF/Synapse ingestion to build and optimize data solutions. Ensure data quality, compliance, and security while conducting privacy reviews and regulatory checks. Write and optimize complex SQL queries to handle large-scale data processing efficiently. Collaborate with cross-functional teams to understand business needs and implement data-driven solutions. Maintain high standards for data accuracy, integrity, and performance across all platforms. Required Skills & Qualifications: 7+ years of experience in data engineering, platform management, ETL development, and data integration. Must-have: Strong experience with MSX. Expertise in Azure DevOps, Fabric, Synapse, Azure Databricks (ADB), SQL, and ADF/Synapse ingestion. Proficiency in writing complex queries and ensuring data accuracy. Strong analytical and problem-solving skills with attention to detail in compliance and privacy reviews. Excellent verbal and written communication skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Compensation / Salary Range: The typical pay for this role across the U.S. is: $90,000 - $110,000 per annum. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment. WCT will accept applications and processes offers for these roles until 03/20/2025 or till the role is filled. Equal Employment Opportunity Declaration: WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Lead Data Engineer, Data ReliabilityJob ID 10103077 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment & ESPN Technology Date posted Jan. 21, 2025Job Summary: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's big data platform, which processes hundreds of terabytes of data and billions of events daily. The Lead Data Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. We seek people who are passionate about solving the toughest challenges and working at scale, using, supporting, and building distributed systems in a fast-paced collaborative team environment. Assist in designing and developing a platform to support incident observability and automation. Lead project work efforts internally and externally setting project deliverables, review design documents, perform code reviews and help mentor junior members of the team. Collaborate with engineering teams to improve, maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Own building out key components for observability and intelligent monitoring of data pipelines and infrastructure. Build solutions to continually improve our software release and change management process. Minimum Qualifications: 7+ years of experience working on mission critical data pipelines and ETL systems. 7+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake. Expertise with common Data Engineering languages such as Python, Scala, Java, SQL. Experience with workflow orchestration tools such as Airflow. Deep understanding of end-to-end pipeline design and implementation. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. #DISNEYTECH #J-18808-Ljbffr

Our client is seeking a Business Analyst to join their team! This position is located in Seattle, Washington! Support the administration of the carbon credit program, and potentially additional sustainability programming Manage internal processes and documents related to vendor onboarding, RFP execution, purchase orders, invoicing, records management Lead the collection and organization of documentation for annual GHG footprinting and other forms of sustainability reporting Support strategy development related to Salesforce's engagement with the voluntary carbon market and other environmental markets Support the research and analysis of climate trends for topics like carbon markets and projects, the energy transition, climate policies and standards, AI, and more Create communications materials with internal and external stakeholder engagement Desired Skills/Experience: 4+ years of related experience Demonstrated analytical fluency, including a mix of qualitative and quantitative analysis Ability to problem solve and manage multiple priorities in a fast-paced environment Driven, entrepreneurial, self-starting Excellent written and oral communication skills Positive, team-oriented, hands-on, and flexible attitude Benefits: Medical, Dental, & Vision Insurance Plans 401K offered $35.83 - $51.18 (est. hourly)

: Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Data Engineer Job Description: Key Responsibilities: Develop, optimize, and maintain ETL pipelines using AWS Glue. Build and manage data workflows and orchestration using Managed Airflow (MWAA). Write and optimize SQL and Python/PySpark scripts for data transformation and processing. Work with data platforms such as Redshift and S3 for efficient data storage and retrieval. Implement data cataloging and governance using AWS Glue and Lake Formation. Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau. Assist in automating infrastructure deployment using AWS CDK and client Build Tools. Monitor, troubleshoot, and optimize data pipelines for performance and reliability. Collaborate with stakeholders to understand data requirements and business objectives. Required Qualifications: Bachelor's degree in computer science, Data Engineering, or a related field. 3-5+ years of experience in data engineering, ETL development, or similar roles. Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation. Strong programming skills in SQL, Python, and PySpark. Experience with data pipeline orchestration using Managed Airflow (MWAA). Familiarity with data modeling, warehousing concepts, and performance tuning. Ability to work in an Agile development environment. Strong analytical and problem-solving skills. Preferred Qualifications: Experience with AWS CDK and client Build Tools for infrastructure automation. Knowledge of data security, governance, and compliance best practices. AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus. Location: Remote Salary Range: The salary for this position is between $110000- $120000 Annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [09-10 days/hours of paid time off] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!