Description
The Data Engineer will build and maintain data products and pipelines using dbt, SQL, and cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift. 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 role also requires daily use of Claude Code or GitHub Copilot, AI-assisted development standards, LLM fundamentals, and experience integrating AI into developer workflows.
