Data Engineer

🕒 Yesterday

🇺🇸 United States – Remote

💵 $83k - $207k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Benchling

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $100M Series F - Benchling on 2021-11

Healthcare • Consulting • Logistics

Benchling is a cloud-based scientific R&D platform that helps life-science teams digitize labs, plan and record experiments, and automate workflows. It provides electronic lab notebooks (ELN), LIMS-like capabilities, data models for biomolecules, integrations with instruments and software, developer APIs, and AI-powered tools and analytics to accelerate discovery, preclinical, and process development across biotech, biopharma, agritech, and industrial biotech. Benchling also offers services such as implementation, training, and customer success to help organizations scale secure, collaborative R&D.

📋 Description

• Build and operate ELT pipelines moving data from Benchling’s product, Salesforce, and third-party systems into Snowflake • Model data with dbt and maintain production standards including testing, monitoring, and schema versioning • Partner with AIDE’s AI engineering team to provide governed, trustworthy data for agentic AI tooling and internal AI applications • Maintain Snowflake access controls using RBAC • Monitor data quality and uphold PII-handling and data-access policies • Manage warehouse cost and performance as usage grows • Contribute to warehouse architecture and semantic layer/metrics store design • Own core pipelines end to end across ingestion, transformation, warehouse, and BI/analytics layers • Help build the trusted data foundation supporting company-wide AI adoption and agentic AI initiatives • Support data needs across GTM, Customer Success, Product, Finance, and other departments

🎯 Requirements

• 3+ years of professional experience building and operating production data pipelines • Strong SQL and Python skills • Hands-on experience with data modeling methodologies and tools, preferably dbt • Experience with version control, code review, CI/CD, and automated testing • Comfort working with AWS or similar cloud infrastructure supporting production pipelines • Experience with Snowflake or a comparable modern cloud data warehouse in production • Comfort with Airflow or similar orchestration tooling • Experience supporting stakeholders across Sales, Customer Success, Product, Finance, and other departments • Understanding of data privacy, governance, quality, and testing frameworks and best practices • Strong communication skills and ability to translate ambiguous non-technical requests into scoped data solutions • Comfort working in a small, fast-moving, still-forming team • Interest in learning about life science; prior knowledge not required • Familiarity with product behavioral data and modern BI tools such as Sigma, Omni, Looker, or Tableau is nice to have • Experience with product/usage analytics instrumentation and event-taxonomy governance is nice to have • Familiarity with Salesforce is nice to have • Exposure to AI-usage telemetry, LLM observability data, or AI/ML tooling is nice to have • Background in enterprise SaaS, life sciences, or biotech is nice to have • Experience building or maintaining a metrics layer is nice to have

🏖️ Benefits

• Equity • Health insurance • Dental insurance • Vision insurance • 401(k) with employer match • Wellness benefits • Commuter benefits