{"schemaVersion":"jobsearcher.job.v1","id":"f4fe2e95186a8dfe36b31d88","url":"https://jobsearcher.com/jobs/f4fe2e95186a8dfe36b31d88","canonicalUrl":"https://jobsearcher.com/jobs/f4fe2e95186a8dfe36b31d88","title":"Data Analytics Engineer","description":"Job Summary  Our client is seeking a Data Analytics Engineer to join their team!    Core Responsibilities Design, build, and maintain scalable, production-grade data pipelines that support analytics, reporting, and business decision-makingPartner closely with business stakeholders to gather requirements, identify underlying business needs, and translate them into technical solutionsDevelop robust batch data pipelines and data products that aggregate, transform, and integrate data from multiple sourcesOwn the full lifecycle of data pipeline development, including design, implementation, testing, monitoring, optimization, and supportCreate clear documentation, data lineage artifacts, architecture diagrams, and knowledge-transfer materials to ensure long-term maintainabilityCollaborate with analytics, product, and business teams to deliver actionable insights and drive analytical impact across the organizationOptimize SQL-based data transformations and data models to improve performance, scalability, and reliabilityCommunicate technical concepts and analytical findings effectively to both technical and non-technical audiencesEvaluate stakeholder requests, ask thoughtful follow-up questions, and identify the most effective solution rather than simply executing requirementsSupport data initiatives involving commerce, payments, transaction processing, fraud, and related business domainsRequired Skills/Experience (Must-Haves) Bachelor's Degree required5+ years of relevant experienceStrong experience building and supporting production-level data pipelines in modern cloud data environmentsAdvanced SQL skills with experience designing complex transformations and scalable data modelsHands-on experience with Snowflake and Databricks in large-scale analytical environmentsExperience with workflow orchestration tools such as Airflow or similar technologiesProven ability to build maintainable, well-documented data solutions that can be easily supported by other team membersExperience partnering directly with business stakeholders and translating business requirements into technical solutionsStrong problem-solving skills with the ability to identify root business needs and recommend appropriate analytical solutionsExcellent verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholdersPreferred Skills/Experience (Nice-to-Haves) Experience working with commerce, payments, transaction, financial, or fraud-related datasetsExperience developing analytical data products and enabling self-service analyticsFamiliarity with data architecture, data modeling, and data governance best practicesExperience working in fast-paced, highly collaborative environmentsExperience mentoring team members and driving best practices for data engineering and analytics engineeringKey Competencies & Behaviors Business-First Problem SolvingOwnership and AccountabilityCollaborative CommunicationWork Environment Location: Santa Monica, CA; New York, NYMust be willing to relocate/work onsite (2 weeks’ notice from time of offer accept)Compensation & Benefits Pay Range: The approximate pay range for this position is between $50.69 and $63.69. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.About KellyMitchell  At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.    Marketing Disclosure  By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell 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 at https://www.careers.kellymitchell.com/privacy-policy","company":"KellyMitchell Group","rawCompany":"kellymitchell group","city":"Santa Monica","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-06T13:53:00.366Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"Job Summary  Our client is seeking a Data Analytics Engineer to join their team!    Core Responsibilities Design, build, and maintain scalable, production-grade data pipelines that support analytics, reporting, and business decision-makingPartner closely with business stakeholders to gather requirements, identify underlying business needs, and translate them into technical solutionsDevelop robust batch data pipelines and data products that aggregate, transform, and integrate data from multiple sourcesOwn the full lifecycle of data pipeline development, including design, implementation, testing, monitoring, optimization, and supportCreate clear documentation, data lineage artifacts, architecture diagrams, and knowledge-transfer materials to ensure long-term maintainabilityCollaborate with analytics, product, and business teams to deliver actionable insights and drive analytical impact across the organizationOptimize SQL-based data transformations and data models to improve performance, scalability, and reliabilityCommunicate technical concepts and analytical findings effectively to both technical and non-technical audiencesEvaluate stakeholder requests, ask thoughtful follow-up questions, and identify the most effective solution rather than simply executing requirementsSupport data initiatives involving commerce, payments, transaction processing, fraud, and related business domainsRequired Skills/Experience (Must-Haves) Bachelor's Degree required5+ years of relevant experienceStrong experience building and supporting production-level data pipelines in modern cloud data environmentsAdvanced SQL skills with experience designing complex transformations and scalable data modelsHands-on experience with Snowflake and Databricks in large-scale analytical environmentsExperience with workflow orchestration tools such as Airflow or similar technologiesProven ability to build maintainable, well-documented data solutions that can be easily supported by other team membersExperience partnering directly with business stakeholders and translating business requirements into technical solutionsStrong problem-solving skills with the ability to identify root business needs and recommend appropriate analytical solutionsExcellent verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholdersPreferred Skills/Experience (Nice-to-Haves) Experience working with commerce, payments, transaction, financial, or fraud-related datasetsExperience developing analytical data products and enabling self-service analyticsFamiliarity with data architecture, data modeling, and data governance best practicesExperience working in fast-paced, highly collaborative environmentsExperience mentoring team members and driving best practices for data engineering and analytics engineeringKey Competencies & Behaviors Business-First Problem SolvingOwnership and AccountabilityCollaborative CommunicationWork Environment Location: Santa Monica, CA; New York, NYMust be willing to relocate/work onsite (2 weeks’ notice from time of offer accept)Compensation & Benefits Pay Range: The approximate pay range for this position is between $50.69 and $63.69. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.About KellyMitchell  At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.    Marketing Disclosure  By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell 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. 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