Data Engineer

Benchling
San Francisco
Workplace: HybridFull timeUSD 153,000 - 207,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 3+ yearsSkills: ["Communication","Stakeholder management","Translating requirements","Data governance mindset"]

Build and operate production-grade ELT pipelines that move data from Benchling, Salesforce, and third-party systems into Snowflake using dbt and software engineering best practices like testing, monitoring, and schema versioning. Own end-to-end ingestion, transformation, warehouse, and BI/analytics layers that support enterprise AI adoption and agentic AI workflows. Ensure data governance (RBAC, PII handling, quality) while improving warehouse cost, performance, and architecture decisions.

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FursaFursa
Benchling
Benchling
2 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and operate production-grade ELT pipelines that move data from Benchling, Salesforce, and third-party systems into Snowflake using dbt and software engineering best practices like testing, monitoring, and schema versioning. Own end-to-end ingestion, transformation, warehouse, and BI/analytics layers that support enterprise AI adoption and agentic AI workflows. Ensure data governance (RBAC, PII handling, quality) while improving warehouse cost, performance, and architecture decisions.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own core data pipelines end to end, building and operating the ELT pipeline into Snowflake modeled with dbt to production standards.
  • •Build trusted data foundation for AIDE AI initiatives by partnering to provide governed, trustworthy data for agentic AI tooling and internal AI applications.
  • •Own data governance and pipeline health including Snowflake RBAC, monitoring data quality, PII handling, and managing warehouse cost and performance.
  • •Contribute to platform strategy by weighing in on warehouse architecture and semantic layer/metrics store design with the data and AI engineering team.

Pay and Benefits

Salary: USD 153,000 - 207,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years building and operating production data pipelines (ingestion, transformation, modeling) into a cloud data warehouse.
  • •Strong SQL and Python skills, with hands-on experience in data modeling methodologies and tools, preferable dbt.
  • •Apply software engineering practices to data systems (version control, code review, CI/CD, automated testing) and comfortable with cloud infrastructure (AWS or similar).
  • •Production experience with Snowflake (or a comparable modern cloud data warehouse).
  • •Comfort with orchestration tooling such as Airflow (or similar) for scheduled data jobs.
Experience:3+ yearsBiotechLife sciencesEnterprise SaaS
Skills:CommunicationStakeholder managementTranslating requirementsData governance mindset
Tech Stack:SQLPythonDbtSnowflakeAWSAirflowELTSalesforceCI/CD

Company Brief

Benchling
Provides a cloud-based R&D Cloud and laboratory informatics platform that centralizes scientific data, streamlines experiments, and accelerates biotechnology and life-science research and development for biotech, pharma, and academic teams.
Industry: Biotech
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2012
Glassdoor
Glassdoor: 3.5
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