Snowflake Data Engineer
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Job description
The Data Engineer is responsible for building and maintaining Snowflake ingestion pipelines, closing data gaps between sandbox and production environments, and supporting AI agent development within Snowflake’s Cortex/Coco ecosystem. This is a 6-month contract with potential extensions. This can sit remotely. Key Responsibilities * Build, configure, and maintain Snowpipes for automated ingestion from S3 and other sources * Ensure accurate movement of data through EDW layers (raw ? conform ? production) * Reconcile discrepancies between sandbox and production datasets * Partner with analytics teams to enforce proper EDW governance and deployment processes * Support integration work for new data sources, transformations, and stored procedures * Assist in building and training AI agents within Snowflake/Cortex * Improve reliability, consistency, and quality of data pipelines across the organization
Requirements
- 4-8+ years as a Data Engineer
- Deep experience with Snowflake, Snowpipes, and cloud-based ingestion patterns
- Strong SQL and stored procedure experience
- Experience with AWS Lambda
- Familiarity with DBT (nice-to-have but common)
- Understanding of AI agent concepts and LLM-driven workflows
- Ability to collaborate with analytics teams and enforce proper data governance
- Healthcare data experience (EMR, HIE, claims, clinical data)
- Experience with Snowflake Cortex/Coco agent development
- Experience with 5Tran or similar ingestion tools (legacy familiarity)
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