Senior Data Engineer at Selby Jennings
About the role
Responsibilities Build and optimize scalable data pipelines and data products. Develop reliable datasets for analytics, reporting, and AI applications. Establish data engineering standards, frameworks, and best practices. Improve data quality, monitoring, testing, and platform observability. Integrate and reconcile complex datasets from multiple sources. Partner with business stakeholders and technical teams to deliver impactful solutions. Drive automation and operational excellence across the …
Interview process at Selby Jennings
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 Selby Jennings interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.