{"schemaVersion":"jobsearcher.job.v1","id":"2e15b4b7f101f5e130c8b3d4","url":"https://jobsearcher.com/jobs/2e15b4b7f101f5e130c8b3d4","canonicalUrl":"https://jobsearcher.com/jobs/2e15b4b7f101f5e130c8b3d4","title":"QA Engineer - Data (Contract)","description":"QA Analyst - Microsoft Fabric / Data LakehouseContract • Independent Contributor*Must be in Los Angeles area (hybrid)*No 3rd parties - No Sponsorship available - No C2CWe're looking for a seasoned data QA specialist to serve as the sole, independent test function for a Microsoft Fabric medallion architecture build. You'll own the entire QA lifecycle - test case design through gate sign-off - validating data across Bronze, Silver, and Gold layers with no day-to-day direction.What you'll doAuthor and maintain the full test-case library and unit-test catalog across all medallion layers, mapped to source-to-target mappings and grain statementsWrite repeatable SQL checks for column/type contracts, key uniqueness, grain, layer-to-layer reconciliation, referential integrity, and pipeline idempotenceProduce test plans and evidence packs at each delivery gate (freeze, UAT, production promotion, hypercare) with written go/no-go recommendations and residual risk summariesValidate semantic model bindings, relationships, measures, and row-level security; confirm reports consume certified models rather than raw lakehousesLog defects with layer attribution and severity - complete enough for engineers to act without a follow-up meetingConfirm CI and data-quality notebooks pass before deployment; verify promotion order, rollback readiness, and flag any exposed credentials as security defectsDeliver a weekly written status covering coverage, pass rates, open defects, and risks to the next gate; escalate blockers same-dayWhat we're looking forHands-on data, ETL/ELT, or BI QA experience reconciling data across layers - not UI-only testingDemonstrated ability to author test cases and test plans from mappings, data dictionaries, and grain statementsStrong SQL - joins, aggregation, window functions, set comparison, duplicate and null profiling, and layer-to-layer reconciliation queries written unaidedHands-on Microsoft Fabric and/or Power BI experience across lakehouses, notebooks, semantic models, and published reports in dev/test/prod workspacesSolid understanding of dimensional modeling - grain, surrogate vs. business keys, facts vs. dimensions, SCD basicsProven independent delivery in a small or single-QA environment with strong written and verbal communicationStrict discipline with sensitive data - masked samples, no PII/PHI in test artifacts, no secrets in documentsNice to haveFabric medallion delivery and Direct Lake semantic model experienceHealth plan, claims, pension, or retirement benefits data backgroundPySpark or notebook-based test assertions, or experience with frameworks like Great ExpectationsAzure DevOps or Git with deployment pipelinesLegacy on-premises SQL Server source experience","company":"Forward Progress Staffing","rawCompany":"forward progress staffing","city":"Sherman Oaks","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:57:39.404Z","occupations":[{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"QA Engineer - Data (Contract)","description":"QA Analyst - Microsoft Fabric / Data LakehouseContract • Independent Contributor*Must be in Los Angeles area (hybrid)*No 3rd parties - No Sponsorship available - No C2CWe're looking for a seasoned data QA specialist to serve as the sole, independent test function for a Microsoft Fabric medallion architecture build. You'll own the entire QA lifecycle - test case design through gate sign-off - validating data across Bronze, Silver, and Gold layers with no day-to-day direction.What you'll doAuthor and maintain the full test-case library and unit-test catalog across all medallion layers, mapped to source-to-target mappings and grain statementsWrite repeatable SQL checks for column/type contracts, key uniqueness, grain, layer-to-layer reconciliation, referential integrity, and pipeline idempotenceProduce test plans and evidence packs at each delivery gate (freeze, UAT, production promotion, hypercare) with written go/no-go recommendations and residual risk summariesValidate semantic model bindings, relationships, measures, and row-level security; confirm reports consume certified models rather than raw lakehousesLog defects with layer attribution and severity - complete enough for engineers to act without a follow-up meetingConfirm CI and data-quality notebooks pass before deployment; verify promotion order, rollback readiness, and flag any exposed credentials as security defectsDeliver a weekly written status covering coverage, pass rates, open defects, and risks to the next gate; escalate blockers same-dayWhat we're looking forHands-on data, ETL/ELT, or BI QA experience reconciling data across layers - not UI-only testingDemonstrated ability to author test cases and test plans from mappings, data dictionaries, and grain statementsStrong SQL - joins, aggregation, window functions, set comparison, duplicate and null profiling, and layer-to-layer reconciliation queries written unaidedHands-on Microsoft Fabric and/or Power BI experience across lakehouses, notebooks, semantic models, and published reports in dev/test/prod workspacesSolid understanding of dimensional modeling - grain, surrogate vs. business keys, facts vs. dimensions, SCD basicsProven independent delivery in a small or single-QA environment with strong written and verbal communicationStrict discipline with sensitive data - masked samples, no PII/PHI in test artifacts, no secrets in documentsNice to haveFabric medallion delivery and Direct Lake semantic model experienceHealth plan, claims, pension, or retirement benefits data backgroundPySpark or notebook-based test assertions, or experience with frameworks like Great ExpectationsAzure DevOps or Git with deployment pipelinesLegacy on-premises SQL Server source experience","datePosted":"2026-10-15T12:57:39.404Z","dateModified":"2026-10-15T12:57:39.404Z","hiringOrganization":{"@type":"Organization","name":"Forward Progress Staffing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sherman Oaks","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e15b4b7f101f5e130c8b3d4"},"url":"https://jobsearcher.com/jobs/2e15b4b7f101f5e130c8b3d4"}}