Data Engineer

Responsibilities:

• Own core data pipelines end to end: Build and operate the ELT pipeline that moves data from Benchling's product, Salesforce, and third-party systems into Snowflake, modeled with dbt.
• Build the data foundation for AIDE's AI initiatives: Partner with AIDE's AI engineering side to make governed, trustworthy data available for agentic AI tooling.
• Own data governance and pipeline health: Maintain Snowflake access controls, monitor data quality, and manage warehouse cost and performance.

Qualifications:

• 3+ years of professional experience building and operating production data pipelines.
• Strong SQL and Python skills; hands-on experience with data modeling and tools like dbt.
• Experience with Snowflake, orchestration tooling, and supporting many stakeholders.

Nice to have:

• Familiarity with product behavioral data and modern BI tools.
• Experience with GTM analytics tools like Salesforce.
• Exposure to AI-usage telemetry or supporting AI/ML tooling.