{"schemaVersion":"jobsearcher.job.v1","id":"b95f8eaaa3731deb336d09ee","url":"https://jobsearcher.com/jobs/b95f8eaaa3731deb336d09ee","canonicalUrl":"https://jobsearcher.com/jobs/b95f8eaaa3731deb336d09ee","title":"Senior Data Engineer (US)","description":"As a Senior Data Engineer on our team, you'll bring deep expertise and strong opinions to complex problems. You'll lead technical workstreams, mentor others, and help define what great looks like for data engineering. You'll build the scalable data infrastructure that powers data-driven insights and predictive and generative models, working closely with our Machine Learning Engineering team and stakeholders across the agency.\n\nWHAT YOU'LL DO\n\nLead complex workstreams and technical problem solving across engagements\nDesign, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving\nCollaborate with the Machine Learning Engineering team to support model training, evaluation, and serving\nIdentify opportunities to improve team processes, tooling, and ways of working\nContribute to thought leadership, internal knowledge sharing, and community of practice efforts\nTranslate business needs into elegant, product-minded data solutions that drive measurable business value\nIntegrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets\nEstablish data engineering standards, documentation, and monitoring practices for data quality and reliability\nApply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery\n\nWHAT YOU'LL NEED\n\n5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up\nDeep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why\nProficiency in Python and SQL for data processing and ETL\nExperience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)\nStrong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value\nHands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows\nProven experience mentoring others, establishing engineering standards, and contributing to a culture of learning\nFamiliarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)\nSolid software engineering fundamentals: version control, testing, code review, and CI/CD\nStrong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative\nExperience leading complex, ambiguous projects from definition through delivery\n\nNICE TO HAVE\n\nExperience with data governance, privacy compliance, and security best practices\nExperience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications\nFamiliarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns\nExperience working across multiple verticals or client types\nTrack record of advocating for and implementing process improvements\n\nABOUT US\n\nBorn in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.\n\nStriving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.\n\nThe Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.\n\nThe compensation range for this role is $120,000 - $160,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.","company":"Code Theory","rawCompany":"code theory","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T11:01:13.395Z","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":"541810","title":"Advertising Agencies","slug":"advertising-agencies"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer (US)","description":"As a Senior Data Engineer on our team, you'll bring deep expertise and strong opinions to complex problems. You'll lead technical workstreams, mentor others, and help define what great looks like for data engineering. You'll build the scalable data infrastructure that powers data-driven insights and predictive and generative models, working closely with our Machine Learning Engineering team and stakeholders across the agency.\n\nWHAT YOU'LL DO\n\nLead complex workstreams and technical problem solving across engagements\nDesign, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving\nCollaborate with the Machine Learning Engineering team to support model training, evaluation, and serving\nIdentify opportunities to improve team processes, tooling, and ways of working\nContribute to thought leadership, internal knowledge sharing, and community of practice efforts\nTranslate business needs into elegant, product-minded data solutions that drive measurable business value\nIntegrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets\nEstablish data engineering standards, documentation, and monitoring practices for data quality and reliability\nApply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery\n\nWHAT YOU'LL NEED\n\n5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up\nDeep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why\nProficiency in Python and SQL for data processing and ETL\nExperience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)\nStrong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value\nHands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows\nProven experience mentoring others, establishing engineering standards, and contributing to a culture of learning\nFamiliarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)\nSolid software engineering fundamentals: version control, testing, code review, and CI/CD\nStrong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative\nExperience leading complex, ambiguous projects from definition through delivery\n\nNICE TO HAVE\n\nExperience with data governance, privacy compliance, and security best practices\nExperience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications\nFamiliarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns\nExperience working across multiple verticals or client types\nTrack record of advocating for and implementing process improvements\n\nABOUT US\n\nBorn in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.\n\nStriving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.\n\nThe Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.\n\nThe compensation range for this role is $120,000 - $160,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.","datePosted":"2026-11-04T11:01:13.395Z","dateModified":"2026-11-04T11:01:13.395Z","hiringOrganization":{"@type":"Organization","name":"Code Theory","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b95f8eaaa3731deb336d09ee"},"url":"https://jobsearcher.com/jobs/b95f8eaaa3731deb336d09ee"}}