Principal Engineer Databricks / Analytics at Kaiser Permanente
About the role
As Principal Engineer Databricks / Analytics at Kaiser Permanente, you will lead the design and evolution of our Databricks-based analytics platform. You will architect scalable Spark and Delta Lake solutions, build robust ETL pipelines, and enable high-quality, trusted data for clinicians, analysts, and business leaders. Partnering closely with product, data science, and IT, you will define standards, ensure security and compliance, and mentor engineers. This role combines deep hands-on engine…
Interview process at Kaiser Permanente
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 Kaiser Permanente interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.