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

• 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 layers (including data relationships and DAX expression validation)

• Demonstrated expertise in source-to-visual data reconciliation using advanced SQL queries rather than relying solely on UI reviews

• 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

• Practical experience working in Microsoft Fabric or Azure ecosystems, handling data migrations, data pipeline verification, and environment parity comparisons

Key Responsibilities

• Execute comprehensive QA strategies across data workflows, pipelines, and semantic models within Microsoft Fabric and Power BI environments

• Perform Lakehouse and semantic model layer validation, verifying data relationships, measures, and DAX calculation accuracy

• Conduct rigorous source-to-visual data reconciliation by writing complex SQL queries against backend data sources to confirm transformation accuracy

• Lead front-end Power BI UI testing, validating report layouts, navigation, user permissions, and visual consistency

• Derive testable requirements from user stories to create structured test cases with clear acceptance criteria

• Document, track, and verify defects with precise reproduction steps, severity categorization, and supporting evidence across functional, regression, and UAT cycles

• Compare legacy reporting systems against Microsoft Fabric environments to ensure functional parity and data alignment

• 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:

• Power BI & Semantic Testing: Deep hands-on experience with Power BI Service, Power BI UI testing, semantic model layers, data relationships, and DAX validation

• Data Validation & SQL: Advanced SQL querying for backend data validation, source-to-visual reconciliation, and data pipeline verification

• QA Fundamentals: Mastery of test case design, acceptance criteria definition, defect reporting, root-cause analysis, and distinguishing functional, regression, and UAT boundaries

• Cloud & Data Environments: Practical experience with Microsoft Fabric, Azure ecosystems, Lakehouse architectures, and advanced Excel for comparative analysis

• Defect & Test Management: Experience utilizing Jira, Azure DevOps, or similar test management tools for defect tracking and test documentation

Nice to Have

• Hands-on test automation experience using Playwright, Selenium, or similar UI automation frameworks

• Knowledge of automated testing approaches for data integration pipelines and CI/CT practices

• Familiarity with AI-assisted testing or coding tools (e.g., Claude Code, Cursor, GitHub Copilot) for data verification

• Exposure to Azure security protocols, data governance frameworks, or large-scale data migrations to Microsoft Fabric

Soft Skills

• Advanced English proficiency (written and verbal)

• Strong analytical mindset with a habit of investigating data anomalies deeply before escalating

• Excellent documentation skills for creating clear, reproducible, and repeatable test cases and bug reports

• Collaborative mindset with the ability to work closely with Data Engineers, Developers, and Product Stakeholders

• High attention to detail, organizational discipline, and technical ownership over data reliability

At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

Originally posted on Himalayas