Lead Staff Data Engineer
Chicago, IL
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
- 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
- 70% Hands On
- 10% Management Duties (mentoring, leading)
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20% Team Collaboration (working with architects, data scientists, and product managers)
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