Data Engineer at Eliassen Group
About the role
Description: Remote Our client seeks a data engineer to collaborate with cross-functional teams and own systems, processes, and the tech stack across the SDLC. The role focuses on building and optimizing scalable data pipelines across Azure and Google Cloud Platform, implementing feature engineering for machine learning with Python and Vertex AI, and ensuring quality through automated testing and CI/CD. The engineer will modernize and extend data assets across SQL, NoSQL, and streaming platform…
Interview process at Eliassen Group
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 Eliassen Group interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.