Overview
On Site
160k - 180k
Full Time
Skills
Pricing Strategy
Decision-making
Teamwork
Data Engineering
Cloud Computing
Git
Orchestration
Microsoft Power BI
Tableau
Advanced Analytics
Data Quality
Pricing
Finance
Amazon Web Services
Snow Flake Schema
Python
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Business Intelligence
Analytics
Machine Learning (ML)
Management
Mentorship
Collaboration
SAP BASIS
Job Details
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
What You Will Be Doing
Tech Breakdown
#LI-BF1
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)
- 20% Team Collaboration (working with architects, data scientists, and product managers)
#LI-BF1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.