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# QA Data Validation Engineer

- **Company:** FRACTAL LLC
- **Location:** Seattle, WA, United States (Remote available)
- **Salary:** $115,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, ARM Architecture, Microsoft Azure, Big Data, Software Bug Management, Data Validation, Extract Transform Load (ETL), Data Warehousing, Database Queries, Python (Programming Language), Microsoft SQL Server, Regression Testing, Power BI, SQL Server Analysis Services, Snowflake, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/c2e6a7bb-dcb5-4396-9284-e1a2fb01dd3b/qa-data-validation-engineer

## About the Role

* Strong experience with data warehouse/analytics migrations, data quality, ETL testing, and source-to-target validation.
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 * Strong SQL skills with hands-on SQL Server and Snowflake experience.
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 * Strong Python experience building automated data validation and reconciliation frameworks.
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 * Experience testing large datasets, complex transformations, ETL/ELT pipelines, and dimensional data models.
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 * Experience validating Power BI reports and semantic models; SSAS experience is desirable.
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 * Experience with test planning, regression testing, UAT, defect management, and Azure DevOps.
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 * Experience with Snowflake Cortex; Snowflake AI Migration (AIM) experience preferred.
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## Description

We are looking for a technically strong QA Data Validation Engineer to support the CRDM migration from on-premises SQL Server to Snowflake. This role will focus on independently validating complex data migrations at scale, automate Python-based reconciliation frameworks, identify root causes of discrepancies. You will work closely alongside our team of additional QA Engineers, Data Engineers, BIAs, and business SMEs to provide clear evidence that migrated data and reporting are production-ready, including BI and Power BI validation, defect tracking, and validation of EDW-to-EDP repointing.