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About the job

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.

WHAT YOU'LL DO

Lead complex workstreams and technical problem solving across engagements

Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving

Collaborate with the Machine Learning Engineering team to support model training, evaluation, and serving

Identify opportunities to improve team processes, tooling, and ways of working

Contribute to thought leadership, internal knowledge sharing, and community of practice efforts

Translate business needs into elegant, product-minded data solutions that drive measurable business value

Integrate marketing data sources (GA4, advertising platforms, CRMs, CDPs) into reliable, well-modeled datasets

Establish data engineering standards, documentation, and monitoring practices for data quality and reliability

Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery

WHAT YOU'LL NEED

5+ years of data engineering experience with a strong track record of ownership and impact, including building data pipelines and infrastructure from the ground up

Deep expertise in cloud data platforms, with clear, well-reasoned opinions on which work best and why

Proficiency in Python and SQL for data processing and ETL

Experience building and deploying data workloads in cloud environments (AWS, GCP, or Azure)

Strong product orientation, with the ability to identify opportunities, prioritize initiatives, and deliver measurable business value

Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows

Proven experience mentoring others, establishing engineering standards, and contributing to a culture of learning

Familiarity with marketing data ecosystems (GA4, advertising platforms, CRMs, CDPs)

Solid software engineering fundamentals: version control, testing, code review, and CI/CD

Strong communication skills, with the ability to work with every technical level at an organization that is 50/50 tech and creative

Experience leading complex, ambiguous projects from definition through delivery

NICE TO HAVE

Experience with data governance, privacy compliance, and security best practices

Experience integrating AI/ML capabilities into data pipelines, with exposure to GenAI applications

Familiarity with MLOps tooling (MLflow, SageMaker, Vertex AI) and vector databases or RAG patterns

Experience working across multiple verticals or client types

Track record of advocating for and implementing process improvements

ABOUT US

Born 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.

Striving 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.

The 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.

The 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.