Lead Staff Data Engineer
Chicago, IL
Hybrid
Full Time
$160k - $180k
We’re looking for a full-time Lead Staff Data Engineer based in Chicago, IL (Merchandise Mart area). You’ll be working with a modern tech stack—AWS, Snowflake, DBT, Python, and Kubernetes—to build scalable, cloud-native data solutions. This role is all about turning complex data into meaningful insights that support real business impact.
This is a high-impact opportunity to work on a small but mighty team focused on pricing strategy—one of the key drivers of business growth. You’ll lead projects, collaborate with smart teammates, and mentor others as you build scalable data products that influence critical decisions. If you're someone who loves solving data problems, values cross-functional collaboration, and enjoys helping others grow, this role offers the perfect mix of challenge, visibility, and career growth—all in a culture that supports work-life balance and continuous learning.
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)
- 20% Team Collaboration (working with architects, data scientists, and product managers)
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