QA Data Validation Engineer

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.

• Strong experience with data warehouse/analytics migrations, data quality, ETL testing, and source-to-target validation. \n

• Strong SQL skills with hands-on SQL Server and Snowflake experience. \n

• Strong Python experience building automated data validation and reconciliation frameworks. \n

• Experience testing large datasets, complex transformations, ETL/ELT pipelines, and dimensional data models. \n

• Experience validating Power BI reports and semantic models; SSAS experience is desirable. \n

• Experience with test planning, regression testing, UAT, defect management, and Azure DevOps. \n

• Experience with Snowflake Cortex; Snowflake AI Migration (AIM) experience preferred. \n

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• Co-develop and execute validation strategies for the SQL Server-to-Snowflake migration. \n

• Validate tables, views, transformations, stored procedures, historical data, and incremental loads. \n

• Perform source-to-target reconciliation using row counts, aggregates, checksums, null/duplicate analysis, and detailed data comparisons. \n

• Build and maintain Python-based automated data validation frameworks for repeatable, scalable testing. \n

• Validate Power BI semantic models and reports, including measures, calculations, filters, and business results. \n

• Validate CRDM dependencies being repointed from on-premises EDW sources to EDP/Snowflake. \n

• Develop test cases, document results, manage defects, perform regression testing, and support UAT and signoff. \n

• Partner with Data Engineering and BIAs to investigate discrepancies and ensure migration readiness. \n

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\n, The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $115,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

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Benefits:

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As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.