Benchling
Data Engineer
$153K–$207K
San Francisco, CA · Hybrid · Full-time · Posted Aug 28, 2026
- Experience
- 3+ years of professional experience building and operating production data pipelines.
About the job
Builds and operates production-grade data pipelines, warehouse infrastructure, and analytics foundations that support company-wide reporting and AI initiatives.
What you'll do
- Own ELT pipelines from product, Salesforce, and third-party systems through Snowflake, dbt, and the BI/analytics layer.
- Provide governed, trustworthy data for internal AI applications and agentic AI tooling; maintain data access, quality, and pipeline health.
- Contribute to data architecture and warehouse, semantic-layer, and metrics-store strategy.
What they ask for
- 3+ years of professional experience building and operating production data pipelines.
- Strong SQL and Python skills; experience with data modeling methodologies and tools.
- Experience applying software engineering practices to data systems and working with cloud infrastructure; production experience with Snowflake or a comparable cloud data warehouse.
- Experience with orchestration tooling and supporting stakeholders across departments.
Nice to have
- Familiarity with product behavioral data and modern BI tools such as Sigma, Omni, Looker, or Tableau.
- Exposure to AI-usage telemetry, LLM observability data, or curated data for AI/ML tooling.
Pay
$153K – $207K USD base salary
Tools
SQL, Python, dbt, Snowflake, AWS, Airflow, Salesforce, Sigma
AI focus
Build the trusted, governed data foundation for internal AI applications and agentic AI tooling; exposure to AI-usage telemetry and LLM observability is a plus.
Model-written summary · the original posting is authoritative