Data Platform Engineer at Princeton IT Services
About the role
Job Title: Data Platform Engineer Location: Remote (Canada) Employment Type: Full-Time Contract Job Summary We are seeking an experienced Data Platform Engineer to design, build, and enhance a cloud-native data platform on AWS and Snowflake . The ideal candidate will have strong expertise in data ingestion, transformation, orchestration, metadata management, and data quality, while building scalable and reliable data pipelines that support enterprise analytics and reporting. Key Responsibilitie…
Interview process at Princeton IT Services
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 Princeton IT Services interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.