This organization is a large, well-established global distributor that quietly powers millions of businesses every day through technology, logistics, and data. They're known for long-term stability, strong leadership principles, and a culture that values pragmatic engineering over hype. Engineers here get the scale of a Fortune 500 with the autonomy to actually build. The role is located in the River North area of Downtown Chicago, where it is hybrid 2x per week. This is also a full time opportunity.
The hands-on Manager of Data Engineering role involves leading a small, senior team building modern, cloud-native data platforms that support machine learning, analytics, and finance. You'll define technical direction while still staying close to Kafka streaming, Airflow orchestration, and scalable data foundations. It's ideal for a working leader who enjoys mentoring while owning real business impact.
Does this sound like a fit? Apply today to be considered.
Required Skills & Experience - Python
- SQL
- Snowflake
- AWS
- Kafka/real-time streaming
Desired Skills & Experience - Bachelor of Science in Computer Science, Engineering or equivalent
What You Will Be Doing Tech Breakdown
- 70% building cloud native data platforms supporting ML, analytics, and finance initiatives
- 30% Kafka streaming, Airflow orchestration
Daily Responsibilities
- 60% Hands On
- 40% Management Duties
The Offer You will receive the following benefits:
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
- 401k matching
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.