Data Engineer - Vehicle Configuration Optimization at Stellantis
About the role
We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream. This is an ideal role for an engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analyti…
Interview process at Stellantis
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 Stellantis interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.