Data Engineer

This role is a foundational part of the data team's growth. You’ll be the second Data Engineer, focused on expanding the data modeling layer, building trustworthy foundations for analytics, and enabling teams across the company—from Product to GTM to Finance—with scalable, reliable data. You will report directly to the Head of Data and partner with the Staff Data Engineer to build a reliable data foundation upon which Honeycomb can scale its business. Own and expand the dbt modeling layer, ensuring it is structured, documented, and reliable. Ingest and normalize data from diverse systems (e.g. Stripe, Salesforce, Hubspot, Netsuite) via Fivetran and custom pipelines. Collaborate with stakeholders across the business to understand how data is used and what it needs to represent. Build analysis-ready marts that power dashboards, experimentation, and planning. Partner with the Staff Data Engineer on ingestion architecture and orchestration, while taking the lead on modeling and semantic logic. Ensure data quality via testing, validation frameworks, and proactively identifying upstream issues. Create leverage through documentation, code reusability, and adoption of AI-assisted tooling to boost development velocity, reduce manual overhead, and enhance documentation/testing.