Hands on Data Engineering Manager

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

• Bonus eligible

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.

Salary : $165,000 - $185,000