Description
The Data Engineer will build and maintain reliable data pipelines, scalable data models, dbt transformations, and governance practices across Snowflake and Airbyte. The role also develops AI-powered applications using retrieval-augmented generation, tool calling, agent-based workflows, APIs, and integrations, while monitoring performance, troubleshooting issues, and collaborating with business stakeholders. Required qualifications include software or data engineering experience, SQL, a programming language such as Python, cloud data-warehouse and pipeline experience, Snowflake and dbt, data-integration tools, LLM and agent-workflow experience, and familiarity with APIs, source control, testing, and CI/CD.
