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About the Role
As a Senior Data Engineer, you will bring deep expertise to complex problems, lead technical workstreams, mentor others, and help define data engineering standards. You will build scalable data infrastructure to power data-driven insights and models, collaborating closely with the Machine Learning Engineering team and stakeholders.
Responsibilities
- 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
Requirements
- 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
Skills
- Python
- SQL
- AWS
- GCP
- Azure
- AI-powered coding
- Agentic engineering
- AI-enabled workflows
- Version control
- Testing
- Code review
- CI/CD
- Data governance
- Privacy compliance
- Security best practices
- MLOps tooling
- MLflow
- SageMaker
- Vertex AI
- Vector databases
- RAG patterns
Experience Level
- Senior
Salary/Compensations
- $120,000 - $160,000
About the Company
- 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.