Motion Recruitment | Jobspring | Workbridge

Lead Staff Data Engineer

Chicago, IL

Hybrid

Full Time

$160k - $180k

We’re looking for a Lead Staff Data Engineer to help us build the next generation of cloud-native data platforms using today’s top-tier tools—AWS, Snowflake, DBT, Python, and Kubernetes. This full-time role is based in our Chicago Merchandise Mart office and offers the opportunity to work on high-impact projects that directly influence business performance.

You’ll join a tight-knit, highly capable team focused on pricing strategy—one of the most powerful levers for driving growth. This isn’t just a hands-on coding role (though you’ll do plenty of that); you’ll also lead the architecture and design of scalable systems, guide technical decision-making, mentor fellow engineers, and collaborate with data scientists and analysts to turn complex data into clear insights. If you thrive on solving meaningful problems with cutting-edge tech, enjoy cross-functional teamwork, and want to grow while helping others grow—this could be your next big move.




Required Skills & Experience
  • 10+ years working on modern data engineering projects
  • 5+ years building cloud-native solutions (preferably using AWS)
  • Hands-on experience with Snowflake, DBT, Python, Docker/Kubernetes
  • Experience designing data lakes and working with data mesh architecture
  • Strong skills with Git, CI/CD, and orchestration tools like Airflow
  • Proven ability to mentor engineers and lead technical efforts
Desired Skills & Experience
  • Experience with BI tools (like Power BI or Tableau)
  • Familiarity with machine learning and advanced analytics
  • Strong understanding of data quality, transformation, and enrichment
  • Background supporting pricing or financial analytics is a plus

What You Will Be Doing
Tech Breakdown
  • 60% AWS, Snowflake, DBT, Python
  • 20% Docker/Kubernetes, CI/CD, Airflow
  • 20% BI tools and enabling analytics/ML
Daily Responsibilities
  • 70% Hands On
  • 10% Management Duties (mentoring, leading)
  • 20% Team Collaboration (working with architects, data scientists, and product managers)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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Posted by: Ben Farsolas

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