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# Snowflake Data Engineer

- **Company:** Insight Global
- **Location:** Nashville, TN, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Amazon S3, ARM Architecture, Clinical Data Repository, Cloud Computing, Data Governance, Data Warehousing, Standard Sql, SQL Stored Procedures, Data Ingestion, Large Language Models, Snowflake, Agentic-AI, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.nashvillejobsite.com/job.asp?id=3466842475&tx=FJ8582FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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)

## 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