Staff QA Engineer (Power BI & Microsoft Fabric)
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Job Description
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 Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related technical field.
Professional Experience 5+ years of experience in Quality Assurance with a heavy focus on data-centric applications, Power BI reporting environments, and complex data validation Hands-on experience performing Power BI report testing at the Lakehouse and semantic model la
Required Skills
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