Data Engineer
Benchling · San Francisco, CA
IT & SoftwareCompany career page
The apply link worked recently (not employer-confirmed).
Role summary
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.
What they're looking for
- Experience building and operating production data pipelines at scale
- Proficiency with ELT tools, dbt, and cloud data warehouses like Snowflake
- Strong SQL and data modeling skills
- Knowledge of data governance, monitoring, and schema versioning practices
- Demonstrated ability to own infrastructure projects end to end
- Familiarity with enterprise data architecture and analytics infrastructure
What you'll be doing
- Design, build, and operate ELT pipelines ingesting data from product, Salesforce, and third-party systems into Snowflake
- Implement production-grade testing, monitoring, and schema versioning for data pipelines
- Partner with AI engineering teams to provide governed, trustworthy data for agentic AI applications
- Establish and maintain data governance standards and pipeline health across the company
- Collaborate with cross-functional teams on data architecture and analytics infrastructure
Privacy & handoff
This role links to Benchling's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.