Lead Data Engineer: Scalable Pipelines & AI-Driven Insights

Code and Theory, LLC

Chicago (IL)

On-site

USD 120,000 - 160,000

Full time

3 hours ago
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Job summary

Code and Theory, LLC is seeking a Senior Data Engineer to build scalable data infrastructure powering data-driven insights, predictive and generative models, and MI collaboration with ML engineering teams. You’ll own complex workstreams, mentor others, and define data engineering standards across the agency.

You’ll translate business needs into elegant data solutions, integrate marketing data sources, and establish practices for data quality and reliability while applying AI-powered workflows to

Qualifications

  • 5+ years of data engineering experience with ownership and impact.
  • Deep expertise in cloud data platforms with opinionated choices.
  • Proficiency in Python and SQL for ETL and data processing.
  • Experience deploying data workloads in AWS, GCP, or Azure.
  • Strong product orientation; ability to deliver measurable business value.

Responsibilities

  • Lead complex workstreams and solve technical problems across engagements.
  • Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving.
  • Collaborate with ML Engineering 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 data solutions that drive value.

Skills

Data pipelines
Cloud data platforms
Python
SQL
Product orientation
AI-enabled workflows
Mentoring
Marketing data ecosystems
Software fundamentals
Communication
Project leadership

Job description

Code and Theory, LLC is seeking a Senior Data Engineer to build scalable data infrastructure powering data-driven insights, predictive and generative models, and MI collaboration with ML engineering teams. You’ll own complex workstreams, mentor others, and define data engineering standards across the agency.

You’ll translate business needs into elegant data solutions, integrate marketing data sources, and establish practices for data quality and reliability while applying AI-powered workflows to

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