What are the responsibilities and job description for the Engineering Manager position at Motion Recruitment?
A Chicago-based, publicly traded enterprise technology company is hiring a full-time Manager of Data Engineering to help shape and scale its next-generation data platforms. This role focuses on building cloud-native, real-time data systems that power machine learning, analytics, and finance use cases across the business. The position is open to remote candidates within the United States.
This is a rare opportunity to step into a true “working manager” role with both strategic influence and hands-on technical ownership. The team is solving real business problems at enterprise scale — from streaming data pipelines to ML-enabled internal tools — and needs a leader who can connect business direction to durable technical systems. You’ll partner closely with ML, analytics, and finance leaders while mentoring a small, high-impact engineering team.
Required Skills & Experience
Tech Breakdown
Posted By: Esteban Medina
This is a rare opportunity to step into a true “working manager” role with both strategic influence and hands-on technical ownership. The team is solving real business problems at enterprise scale — from streaming data pipelines to ML-enabled internal tools — and needs a leader who can connect business direction to durable technical systems. You’ll partner closely with ML, analytics, and finance leaders while mentoring a small, high-impact engineering team.
Required Skills & Experience
- 5 years leading data engineering initiatives in complex, cross-functional environments
- Direct people management experience with distributed or remote teams
- Strong hands-on background with cloud-native data platforms
- Experience supporting machine learning and advanced analytics workloads
- Ability to set technical direction and own outcomes beyond a single team
- Master’s degree in a technical discipline
- Experience with real-time or streaming architectures
- Background in platform engineering or internal developer tooling
- Strong communication skills with both technical and business stakeholders
Tech Breakdown
- 35% Cloud-native data platform development (streaming, orchestration, storage)
- 25% ML and analytics enablement
- 20% Platform reliability, observability, and governance
- 20% Architecture and technical strategy
- 45% Hands On
- 30% Management Duties
- 25% Team Collaboration
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Posted By: Esteban Medina