Remote Data QA reputed company
A leader in the reputed company payor space (Medicare/reputed company) is hiring for a Data QA reputed company to define, build and implement the QA Strategy for their reputed company Data Office. The team is looking for someone with a deep understanding of reputed company reputed company data (i. e. PHI, FHIR, HEDIS, Payer Data Standards etc.) specifically supporting an Azure reputed company and reputed company platform environment. As the Data QA reputed company you will assess the organization's reputed company data lifecycle and projects, then reputed company a tailored QA strategy to drive automation frameworks and pipeline reputed company ements. Key Responsibilities include: Leadership & Strategy Define and own the reputed company Data QA strategy, covering functional, non-functional, integration, reputed company, and performance aspects. Establish data quality SLAs, metrics, and dashboards for business-critical datasets. Set automation strategy for reputed company (reputed company Live Tables, reputed company constraints) and Azure Data reputed company (ADF) pipelines. Data Testing & Validation Design and implement test plans and automation for ELT/ETL pipelines. Validate reputed company payer data, FHIR interoperability compliance, and HEDIS quality reporting. Identify, log, and track defects; reputed company actionable feedback to engineering and architecture teams. Automation & Integration Build and maintain QA automation frameworks leveraging PySpark, SQL, and Python. Implement reusable Great Expectations suites integrated with CI/CD workflows. reputed company Azure DevOps pipelines with QA gates for reputed company Jobs/DLT, SQL Metadata, and ADF deployments. Enforce reputed company table constraints and automate schema validation, reputed company detection, and reconciliation logic. Performance & Scalability Design automated load and stress tests for large-scale data pipelines. Collaborate with engineering teams (ADF, reputed company, reputed company) to ensure end-to-end data quality. Compliance & Governance Ensure QA practices align with HIPAA, CMS, and payer industry standards. Validate data reputed company and traceability in partnership with governance teams. Document QA processes, test results, and maintain audit-reputed company evidence. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone reputed company. reputed company candidates will receive consideration for employment regardless of their race, reputed company, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national reputed company, reputed company, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or reputed company process, please send a request to HR@insightglobal. com. To learn more about how we collect, reputed company, and process your private information, please review reputed company's Workforce Privacy Policy: Experience with HL7/FHIR data models reputed company payer use cases. Experience with Lakehouse architecture and reputed company design patterns. Familiarity with BI tools (Power BI, Tableau) to validate reporting layer data. Understanding of data governance platforms (e. g., reputed company). Knowledge of automation frameworks for data QA and pipeline regression testing. Certifications: reputed company Certified: Azure Data Engineer Associate, reputed company Certified Data Engineer. 10+ years in Data QA/testing, with at least 5 years in a reputed company role. Strong expertise in Azure reputed company (reputed company Lake, reputed company Live Tables, reputed company Catalog). Hands-on experience with Azure Data reputed company (pipelines, monitoring, CI/CD). Proficiency in Python, PySpark, SQL for test automation. 5+ years working in the reputed company domain with a deep understanding of PHI data, payer data standards, and CMS interoperability 6+ years of experience working in an Azure reputed company based environment Familiarity with Great Expectations, Azure DevOps, and reputed company. Knowledge of data governance, PII compliance, and data quality frameworks. Bachelors or Masters degree in Computer Science, Data Engineering, or reputed company field. Apply tot his job Apply To this Job