Role OverviewThe Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design and validation work on the team. This role authors detailed test plans and test cases for new transformations and ingestion processes, executes advanced data validation across base tables and tabular cubes, and leads root cause analysis on high-impact failures.
What You Will Do
Create comprehensive test plans and test cases for new transformations and ingestion processes, execute advanced data validation, write complex SQL and Python validation scripts, lead testing for new transformations and migrations, conduct root cause analysis, and contribute to and extend the team's automated test scripts and frameworks.
Why It Might Be a Fit
The ideal candidate will have 5+ years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing, strong Python skills, advanced SQL skills, and demonstrated ability to write detailed test plans and test cases independently.
Requirements
- 5+ years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing
- 5+ years of Hands-on testing experience on Snowflake and Databricks
- 5+ years of Strong Python skills for writing validation scripts
- 5+ years of Advanced SQL skills, including complex joins, aggregations, window functions, and reconciliation patterns
- 5+ years of Demonstrated ability to write detailed test plans and test cases independently
- 5+ years of Experience performing root cause analysis on data issues and producing structured RCA documentation
- 5+ years of Experience working in Jira-driven QA workflows
Benefits
- medical, dental, and vision insurance with an employer contribution
- flexible spending or health savings account
- life and AD&D insurance
- short and long term disability coverage
- paid time off
- employee assistance
- participation in a 401k program with company match
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