Lead Data Engineer — AI-Driven Pipelines & Cloud Platforms

Code and Theory, LLC

New York (NY)

On-site

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

Code and Theory, New York-based digital-first creative agency, seeks a Senior Data Engineer to lead data workstreams, design scalable pipelines, and partner with the ML Engineering team on model training and serving.

You will mentor teammates, define engineering standards, and translate business needs into data solutions that deliver measurable value across marketing and creative programs.

Qualifications

  • 5+ years of data engineering experience with ownership and impact.
  • Proficiency in Python and SQL for data processing and ETL.
  • Experience deploying data workloads in cloud environments (AWS, GCP, or Azure).

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 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.

Skills

Python
SQL
Data pipelines
Cloud platforms
Mentoring
Communication
AI-powered coding
Product orientation
CI/CD

Tools

MLflow
SageMaker
Vertex AI
Vector databases

Job description

Code and Theory, New York-based digital-first creative agency, seeks a Senior Data Engineer to lead data workstreams, design scalable pipelines, and partner with the ML Engineering team on model training and serving.

You will mentor teammates, define engineering standards, and translate business needs into data solutions that deliver measurable value across marketing and creative programs.

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