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Staff Technical QA Engineer (Data Testing expertise)
Staff Technical QA Engineer (Data Testing expertise)Growth Acceleration Partners • Remote, CO
Staff Technical QA Engineer (Data Testing expertise)

Staff Technical QA Engineer (Data Testing expertise)

Growth Acceleration Partners • Remote, CO
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WHAT WE DO

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.

Summary :

We are seeking a detail-oriented Quality Assurance (QA) Specialist with strong expertise in Power BI testing and Microsoft Fabric migrations. This role will play a critical part in ensuring data integrity, reliability, and performance across our reporting and analytics environment. The ideal candidate will combine front-end user testing skills (Power BI Service navigation, validating report usability) with back-end data validation (SQL queries, pipeline testing, data model checks).

As a Staff-level engineer, you bring deep technical expertise and serve as a trusted authority on complex testing solutions. You will play a key role in defining testing strategies, setting best practices, and guiding cross-functional teams through automation, performance, and quality assurance initiatives.

Education

  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Professional Experience

  • 10+ years of experience in QA Engineering or related roles.
  • Key Responsibilities :

  • QA Strategy & Execution :
  • o Develop and implement QA strategies for data workflows, pipelines, and models within Microsoft Fabric.

    o Establish repeatable testing processes to validate data quality, consistency, and accuracy across Power BI reports and semantic models.

  • Testing & Validation :
  • o Test Power BI Service functionality, including navigation, permissions, and user interactions.

    o Validate front-end report outputs and ensure consistency with underlying data sources.

    o Query SQL backend sources to confirm data accuracy, transformations, and performance.

    o Compare legacy vs. Fabric environments to ensure identical functionality and results.

  • Automation & Documentation :
  • o Design and manage automated testing processes for pipelines, models, and integrations.

    o Document test cases, scenarios, and outcomes in a clear, reproducible manner.

    o Track and report quality metrics, ensuring SLAs for data availability and accuracy are met.

  • Collaboration & Issue Resolution :
  • o Work closely with Business Analysts, Power BI Developers, Data Engineers, Modelers, and Governance Specialists to uphold data quality standards.

    o Conduct root cause analysis for data-related issues and coordinate resolution efforts.

    o Recommend improvements in testing frameworks, methodologies, and tools.

    Required Skills & Experience :

  • Proven experience in Power BI Service testing, including navigation, permissions, and report validation.
  • Experience with Python
  • Experience in ETL / Data Warehouse manual and automation testing experience using Great Expectations / Python Spark notebooks or any other BI tool.
  • Ability to query SQL databases for back-end validation and issue troubleshooting.
  • Comfort with Excel (pivot tables, lookups, comparisons) for validation and analysis.
  • Strong understanding of data quality principles (completeness, accuracy, consistency).
  • Familiarity with Microsoft Fabric and Azure environments.
  • Knowledge of automated testing frameworks for data pipelines and integrations.
  • Experience in defining, tracking, and reporting QA and data quality metrics.
  • Strong documentation skills to create clear and repeatable test cases.
  • Validation of Fabric pipeline ETL processes and semantic models.
  • Hands-on experience testing data migrations to Microsoft Fabric.
  • Experience with ETL validation and data pipeline testing.
  • Proficiency in database systems (SQL) and data validation.
  • Skilled in CI / CD pipeline integration (GitHub Actions, Jenkins).
  • Soft Skills

  • .Advanced English proficiency (spoken and written).
  • Strong leadership, mentoring, and communication abilities.
  • Excellent time management and organizational skills.
  • Proactive in identifying risks and implementing mitigation strategies.
  • Collaborative and open to adopting new technologies and innovative testing approaches.
  • Preferred Qualifications :

  • Familiarity with Azure security protocols and governance frameworks.
  • Prior experience in root cause analysis for complex data / reporting issues.
  • Exposure to continuous integration / continuous testing (CI / CT) practices.
  • 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.

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