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# Data Engineer Snowflake

- **Company:** VACO LLC
- **Location:** Brentwood, TN, United States
- **Experience:** Experienced
- **Salary:** $114,400 - $145,600
- **Contract:** Contract
- **Skills:** Artificial Intelligence, ARM Architecture, JIRA, Cloud Database, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), SQL Databases, Sql Optimization, GitHub Copilot, Snowflake, Generative AI, Claude, GPT, Data Pipelines, Legacy Systems
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/f3c1fa2c-6eff-4f30-98aa-aa1581e3ec12

## About the Role

* 3+ years of Data Engineering experience
 * Strong hands-on Snowflake experience in a production environment
 * Experience independently building ETL or ELT pipelines
 * Advanced SQL skills
 * Strong Python development experience for data engineering
 * Understanding of data warehousing, data modeling, and database architecture
 * Experience troubleshooting data quality and transformation issues
 * Comfortable picking up engineering work from a Jira backlog and running with it
 * Ability to work onsite in Nashville every Tuesday

Nice to Have

 * Experience migrating an on-prem data warehouse to Snowflake
 * SnowPro or other Snowflake certifications
 * Experience with Snowflake Cortex
 * Cloud data engineering experience
 * Experience with large enterprise data environments
 * Hands-on use of GitHub Copilot, Claude, ChatGPT, or similar GenAI tools as part of your engineering workflow

## Description

We're looking for two Data Engineers to help with a large-scale data warehouse modernization and an active backlog of new data pipeline work.

The biggest need is someone who has real production experience with Snowflake. We're not looking for someone who has only queried data in Snowflake or worked around it. You should be comfortable building ETL pipelines, writing advanced SQL and Python, troubleshooting data issues, and owning engineering work from development through testing and deployment.

The team is currently moving an enterprise data warehouse from an on-prem environment into Snowflake. As applications and analytics begin consuming the new data, the engineers will help investigate discrepancies, improve pipelines, and build new integrations.

What You'll Be Doing

 * Build and maintain production ETL/ELT pipelines in Snowflake
 * Develop data transformations using SQL and Python
 * Troubleshoot data discrepancies between legacy systems and Snowflake
 * Develop new pipelines from an existing Jira backlog
 * Improve data quality, reliability, and pipeline performance
 * Test and validate transformed data before release
 * Work with analysts and technical teams to understand new data requirements
 * Document pipeline logic, transformations, and data processes
 * Support ongoing enterprise data warehouse modernization
 * Use AI development tools to accelerate research, coding, troubleshooting, and documentation