About Us
Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides a comprehensive range of solutions in the areas of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over two decades in the software industry and global reach, we have grown with extensive capabilities across multiple industry verticals.
For more information, please visit our website:
https://www.atlassystems.com/
Please click on the link below to apply for this position:
https://atlas.bamboohr.com/careers/603
Quality Assurance (QA) Specialist – Power BI / Microsoft Fabric
Overview
We are seeking a detail-oriented QA Specialist with strong hands-on expertise in Power BI testing, Data Analytics QA, and Microsoft Fabric. The role focuses on ensuring data accuracy, reliability, usability, and performance across the analytics environment.
The ideal candidate should combine deep Power BI QA expertise with strong SQL, ETL, data validation, and Fabric knowledge, with the ability to trace issues end-to-end across data pipelines, Fabric data layers, semantic models, DAX, and Power BI reports.
Key Responsibilities
QA Strategy & Execution
- Develop QA strategies for Power BI reports, semantic models, ETL pipelines, and Fabric data workflows.
- Define repeatable test cases and validation processes based on requirements, user stories, and acceptance criteria.
- Perform functional, regression, integration, data migration, and UAT testing.
Power BI & Data Validation
- Test Power BI Service functionality including navigation, permissions, RLS, filters, slicers, drill-through, interactions, refresh, and usability.
- Validate semantic models, relationships, measures, DAX logic, and filter context.
- Reconcile Power BI outputs with SQL/Fabric backend data and validate business rules.
- Perform root-cause analysis across source → ETL → Fabric → semantic model → DAX → visual.
Fabric / ETL Validation
- Validate Fabric pipelines, Lakehouse/Warehouse data, notebooks, and ETL/ELT transformations.
- Perform source-to-target, reconciliation, completeness, accuracy, duplicate, null, aggregation, and business-rule validations.
- Validate initial, incremental, and historical loads, including insert/update/delete scenarios.
- Use SQL, PySpark/Spark SQL, and notebooks for large-scale validation where applicable.
Automation & Documentation
- Design reusable and automated validation frameworks for Power BI, data pipelines, models, and integrations.
- Integrate validation into pipeline execution where appropriate.
- Document test cases, validation results, defects, evidence, and QA metrics.
- Support CI/CT and front-end automation using Playwright where applicable.
Collaboration & Issue Resolution
- Work with Business Analysts, Power BI Developers, Data Engineers, Data Modelers, and Governance teams.
- Identify whether issues originate from data, transformation, pipeline, semantic model, DAX, or report/UI layers.
- Drive defect investigation, RCA, UAT, production validation, and release readiness.
Required Skills & Experience
- Strong hands-on experience in Power BI / Data Analytics QA.
- Deep understanding of Power BI Service, DAX, semantic models, relationships, and report validation.
- Strong SQL and backend data validation/reconciliation skills.
- Strong understanding of ETL/ELT testing and data quality principles.
- Hands-on or strong working knowledge of Microsoft Fabric and Azure data environments.
- Experience with structured QA processes, test cases, defect management, and QA metrics.
- Experience with automated testing/validation frameworks.
- Strong documentation and troubleshooting skills.
Preferred Qualifications
- Hands-on Fabric migration and data validation experience.
- Fabric Notebooks, PySpark/Spark SQL, Databricks, ADF.
- Reusable/config-driven data validation frameworks.
- Playwright for Power BI/front-end testing.
- XMLA, Semantic Link (SemPy), or semantic-model automation.
- CI/CT, Azure security/governance, and AI testing frameworks.
Skills Required
- Proven experience in Power BI Service testing (navigation, permissions, report validation)
- Ability to query SQL databases for back-end validation and troubleshooting
- Excel skills (pivot tables, lookups, comparisons) for validation
- 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 defining, tracking, and reporting QA and data quality metrics
- Strong documentation skills to create clear and repeatable test cases
- Experience with Playwright to automate front end testing
- Hands-on experience testing data migrations to Microsoft Fabric
- Familiarity with AI Testing Frameworks and SDLC methodology
- 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
What We Do
Atlas Systems is a technology company founded in 2003 in Princeton, New Jersey, serving Fortune 1000 and mid-sized clients across healthcare, financial services, manufacturing, and other regulated industries. We build AI-powered platforms that solve operational problems most enterprises still handle manually or through legacy systems: PRIME®: A provider data management platform used across U.S. healthcare, covering payers, providers, health systems, and provider groups. PRIME keeps provider directories accurate, automates credentialing and enrollment, and helps organizations meet compliance and directory accuracy requirements. ComplyScore®: A risk and compliance management platform covering third-party risk management, continuous compliance, and internal risk domains, including a Headless TPRM offering. Used by regulated industries including healthcare, financial services, manufacturing, and life sciences across the US, EU, APAC, and India. AInfinity®: An agentic AI automation platform that applies AI to workflows across healthcare and risk and compliance. Beyond our platforms, our IT Services division works alongside client teams and systems, providing managed IT services, infrastructure support, application development, database services, cloud migration, and IT security to organizations that need dependable, hands-on technical partners. We manage 6,000+ database instances, and our platforms are built to hold up at enterprise scale: accurate enough to pass an audit or regulatory review, and simple enough that clients get more value at a lower total cost of ownership than comparable solutions. We're small enough to know our clients by name and big enough to support Fortune 1000 operations across geographies.
Why Work With Us
We're a team-first culture where people grow fast, own real problems, and see their work reach Fortune 1000 clients from day one. We promote from within and invest in ongoing development, because our platforms are only as good as the people building them.
