Data Engineer at Benchling
About the role
Benchling seeks a data engineer to build and operate production-grade data pipelines and warehouse infrastructure supporting company-wide analytics and AI initiatives. The role owns end-to-end ELT systems, data modeling, and governance as part of a growing internal AI and data engineering team. Responsibilities Design, build, and operate ELT pipelines ingesting data from product, Salesforce, and third-party systems into Snowflake Implement production-grade testing, monitoring, and schema versio…
Interview process at Benchling
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 Benchling interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.