Senior Data Engineer (US)

Posted Yesterday
Hiring Remotely in New York, NY, USA
In-Office or Remote
120K-160K Annually
Senior level
Agency • Software • Consulting
Living at the intersection of creativity and technology.
The Role
Leads complex data engineering workstreams and mentors engineers while designing scalable pipelines and cloud data infrastructure. Integrates marketing data from GA4, advertising platforms, CRMs, and CDPs into reliable datasets. Collaborates with machine learning teams on model training and serving, establishes engineering and data quality standards, and applies AI-enabled development workflows. Partners with stakeholders to deliver product-minded data solutions and drives process improvements, documentation, monitoring, and knowledge sharing.
Summary Generated by Built In

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.

Skills Required

  • 5+ years of data engineering experience, including building data pipelines and infrastructure from the ground up
  • Deep expertise in cloud data platforms
  • Proficiency in Python and SQL for data processing and ETL
  • Experience deploying data workloads in AWS, GCP, or Azure
  • Strong product orientation and ability to prioritize initiatives and deliver measurable business value
  • Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows
  • Experience mentoring others and establishing engineering standards
  • Familiarity with marketing data ecosystems, including GA4, advertising platforms, CRMs, and CDPs
  • Software engineering fundamentals including version control, testing, code review, and CI/CD
  • Strong communication skills across technical levels
  • Experience leading complex, ambiguous projects from definition through delivery
  • Experience with data governance, privacy compliance, and security best practices
  • Experience integrating AI/ML capabilities into data pipelines and exposure to GenAI applications
  • Familiarity with MLOps tooling such as MLflow, SageMaker, or Vertex AI, plus vector databases or RAG patterns
  • Experience working across multiple verticals or client types
  • Track record of advocating for and implementing process improvements

Code and Theory Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Code and Theory and has not been reviewed or approved by Code and Theory.

  • Leave & Time Off Breadth — Time-off policies include an “unlimited”/flexible PTO approach with paid holidays/sick time and seasonal early-close Fridays, offering notable flexibility. These options provide additional downtime beyond standard accrual models.
  • Healthcare Strength — Core medical, dental, and vision coverage is part of the standard package, with employer-verified health plan information cited as current. Life and disability insurance further reinforce foundational coverage.
  • Retirement Support — A 401(k) with employer match is included in the package, supporting long-term savings. Candidates are encouraged to confirm the match formula during the offer stage.

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The Company
HQ: New York, NY
445 Employees
Year Founded: 2001

What We Do

Code and Theory is a strategically driven, digital-first creative agency that lives at the intersection of creativity and technology. We solve consumer and business problems across the entire customer journey that flex to meet the ever-changing needs of consumer expectations. We put the user, their behaviors and needs, at the center of everything we do — from our proprietary research methodologies, to product development processes, to how we create brand, channel and messaging strategies. Our goal is simple: to solve our clients business problems. We bring big ideas to life by looking holistically at brand ecosystems where digital plays a prominent role in driving the consumer from first-touch through to conversion to relationship deepening over time. We identify gaps in the consumer journey and opportunities in culture that require products, services or communications to fill. We work across categories, ranging as far and wide as health care (Pfizer, Sanofi, Reach MD, Bioreference Laboratories) to financial services (JP Morgan Chase, Prudential, Morgan Stanley, First Data) to cpg (Mars, Unilever, Johnson & Johnson) to technology companies (Facebook, Xerox, Samsung, Comcast) to culture brands (adidas, H&M). And because our DNA is in publishing — we’ve embedded in over 135 newsrooms in the past decade — we bring unique expertise in understanding how content is created, distributed and optimized, including our work with CNN, NBC News, NBC Sports, and Bustle Digital Group. At Code and Theory, we strive to only be limited by our own ambition and creativity. We believe in pushing our creativity beyond the easy and obvious answers in order to deliver the solutions that are right for our clients, their businesses, and their consumers.

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