Description
The Data Engineer will build and maintain data products and pipelines using dbt, SQL, and a cloud data platform. The role requires 6+ years of experience in data engineering, analytics engineering, or related fields, 3+ years of production dbt experience, and expertise in dbt models, materialization, incremental models, macros, Jinja, tests, data quality, snapshots, seeds, sources, documentation, lineage, and packages. The engineer will also integrate AI-assisted development into workflows, establish standards for AI-generated code, and evaluate AI tooling for productivity and quality impact.
