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.