Staff QA Engineer (Power BI & Microsoft Fabric)
WHAT WE DO
Founded in 2007, Growth Acceleration Partners (GAP) is a premier consulting and technology services company built for the AI era. We consult, design, build, and modernize revenue-generating software and data engineering solutions. By leveraging AI-native architectures, advanced data analytics, and deep modernization strategies, we help businesses secure a competitive advantage.
GAP’s remote, integrated engineering teams deliver end-to-end solutions that drive true business innovation. We are a woman-owned, Austin-based company with over 600 English-speaking engineers across Latin America and the U.S. Boasting industry-leading customer satisfaction scores, our core focus is the dual success of our clients and our people. We are a values-based organization deeply invested in the growth of our "GAPsters"—providing continuous education, onsite English classes, and cutting-edge training in AI, machine learning, and next-gen technologies to ensure our communities achieve long-term success.
Summary
We are seeking a detail-oriented Senior QA Engineer with specialized expertise in Power BI testing, Microsoft Fabric environments, and end-to-end data validation. In this role, you will define and execute a comprehensive testing strategy that validates data integrity from the Lakehouse and semantic model layers down to the front-end user interface. Combining rigorous manual validation, deep backend SQL checks, and DAX verification, you will bridge UI testing with source-to-visual reconciliation to ensure high performance and reliability across reporting ecosystems.
Education
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Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related technical field.
Professional Experience
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5+ years of experience in Quality Assurance with a heavy focus on data-centric applications, Power BI reporting environments, and complex data validation
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Hands-on experience performing Power BI report testing at the Lakehouse and semantic model layers (including data relationships and DAX expression validation)
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Demonstrated expertise in source-to-visual data reconciliation using advanced SQL queries rather than relying solely on UI reviews
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Solid foundation in QA fundamentals: writing structured test cases from user stories/requirements, defect lifecycle management, and conducting thorough root-cause investigations prior to escalating issues
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Practical experience working in Microsoft Fabric or Azure ecosystems, handling data migrations, data pipeline verification, and environment parity comparisons
Key Responsibilities
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Execute comprehensive QA strategies across data workflows, pipelines, and semantic models within Microsoft Fabric and Power BI environments
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Perform Lakehouse and semantic model layer validation, verifying data relationships, measures, and DAX calculation accuracy
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Conduct rigorous source-to-visual data reconciliation by writing complex SQL queries against backend data sources to confirm transformation accuracy
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Lead front-end Power BI UI testing, validating report layouts, navigation, user permissions, and visual consistency
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Derive testable requirements from user stories to create structured test cases with clear acceptance criteria
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Document, track, and verify defects with precise reproduction steps, severity categorization, and supporting evidence across functional, regression, and UAT cycles
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Compare legacy reporting systems against Microsoft Fabric environments to ensure functional parity and data alignment
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Conduct root cause analysis for data anomalies and collaborate closely with Data Engineers and Developers to resolve quality bottlenecks
Required Technical Skills
Strong experience in several of the following areas:
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Power BI & Semantic Testing: Deep hands-on experience with Power BI Service, Power BI UI testing, semantic model layers, data relationships, and DAX validation
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Data Validation & SQL: Advanced SQL queryin