Data Engineer (Python) - Remote at General Motors
About the role
We are looking for a hands-on Senior Data Engineer to help build the data products that power Customer Care and Aftersales analytics, AI, and operational decision-making. Behind every warranty claim, repair order, service event, and customer interaction is an opportunity to improve quality, reduce costs, increase customer satisfaction, and make vehicle ownership better. The challenge is not collecting the data. It is turning large, complex operational datasets into trusted, reusable assets that…
Interview process at General Motors
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types General Motors interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.