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Data Engineer

Benchling· Engineering
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Hybrid (San Francisco, CA)$153k - $207kFull-timePosted 1mo ago

About the role

Data Engineer on the AI & Data Engineering (AIDE) team within the Security & IT organization. Own end-to-end data pipelines and warehouse infrastructure to support AI adoption and trusted data across the company, partnering with AI engineering and analytics to enable enterprise data for dashboards, governance, and AI workflows.

Responsibilities

  • Own core data pipelines end to end: Build and operate the ELT pipeline moving data from Benchling's product, Salesforce, and third-party systems into Snowflake, modeled with dbt, with production-grade testing, monitoring, and schema versioning.
  • Build the data foundation for AIDE's AI initiatives: Partner with AI engineering to make governed, trustworthy data available for agentic AI tooling and internal AI applications.
  • Own data governance and pipeline health: Maintain Snowflake access controls (RBAC), monitor data quality, uphold PII-handling and data-access policy, manage warehouse cost and performance as usage grows.
  • Contribute to platform strategy: Weigh in on warehouse architecture and semantic layer/metrics store design alongside the data and AI engineering team.

Qualifications

  • 3+ years of professional experience building and operating production data pipelines (ingestion, transformation, and modeling data into a cloud data warehouse).
  • Strong SQL and Python skills; hands on experience with data modeling methodologies and tools, preferable with dbt.
  • Experience applying software engineering practices to data systems — version control, code review, CI/CD, automated testing — and comfort with cloud infrastructure (AWS or similar) supporting production pipelines.
  • Experience with Snowflake or a comparable modern cloud data warehouse in production.
  • Comfort with orchestration tooling (Airflow or similar) for scheduled data jobs.
  • Track record supporting many stakeholders across departments such as Sales, CS, Product, Finance, rather than a single internal customer.
  • Understanding of data privacy, governance, quality, and testing frameworks and best practices.
  • Strong communication skills; comfortable translating ambiguous requests from non-technical stakeholders into a scoped, buildable data solution.
  • Comfortable in a small, fast-moving team — AIDE formed in mid-2026 and defining its processes.
  • Interest in learning more about life science (prior knowledge not required).

Skills

Required:SQLPythonSnowflakeAirflow or similarData governanceCommunicationCross-functional collaboration
Nice to have:dbt

Benefits

  • Full-time U.S. benefits including equity, health, dental, vision, 401(k) + employer match, wellness, commuter, and more.
Last updated Sep 3, 2026. Interested? Apply on the company site.
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Cloud-based platform for biotech R&D | Benchling

Benchling is a cloud-based platform for biotechnology research and development and the only biology-first platform for scientific data, collaboration, and insights.

BioresearchBioprocessIn VivoConnectGene therapyCell therapyAntibodies and proteinsRNA therapeutics
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