Hiring: Data Engineer Company: Benchling Location: San Francisco, CA Job Posted Time: 2026-09-03 10:23:17 Employment Type: Hybrid Target Skills & Keywords : AWS, Airflow, CI/CD, Data Pipeline, Data Warehouse, ELT, LLM, Python, R, RBAC, REST, SQL, SaaS, Salesforce, Snowflake, dbt About the job Experience: •3+ years of professional experience building and operating production data pipelines — ingestion, transformation, and modeling data into a cloud data warehouse. Required Skills: •This is a data engineering role — we want someone who builds and operates reliable, production-grade data pipelines and warehouse infrastructure, not a data scientist focused on modeling or analysis. •Check out our engineering blog for examples of past work across Benchling. •Build the data foundation for AIDE's AI initiatives: Partner with AIDE's AI engineering side to make governed, trustworthy data available for the agentic AI tooling and internal AI applications the team ships. •Own data governance and pipeline health: Maintain Snowflake access controls (RBAC), monitor data quality, uphold PII-handling and data-access policy, and manage warehouse cost and performance as usage grows. •Contribute to platform strategy: Weigh in on bigger structural decisions — warehouse architecture, semantic layer/metrics store design— alongside the rest of the data and AI engineering team. Qualifications: •Strong SQL and Python skills; hands on experience with data modeling methodologies and tools, preferable with dbt. •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, still-forming team — AIDE only stood up in its current form in mid-2026 and is actively defining its own processes. •Interest in learning more about life science (prior knowledge is not required). •Operational familiarity with product behavioral data and a modern BI tool (Sigma, Omni, Looker, Tableau) deployed in a self-service model. •Operational familiarity with GTM analytics tools such as Salesforce. •Exposure to AI-usage telemetry, LLM observability data, or supporting AI/ML tooling with curated data. Compensation: •$153,000 - $207,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!