QA Data Engineer

Job Title: QA Data Engineer – Healthcare Data Projects Location: Remote Duration: Contract Mandatory Skills: ETL and GCP Job Description: We are seeking a QA Data Engineer with strong experience in validating large-scale healthcare data platforms. The ideal candidate will have hands-on expertise in data quality assurance, ETL testing, and healthcare data standards, ensuring accuracy, integrity, and compliance across data pipelines and analytics systems. Key Responsibilities: • Design and execute data quality and validation test strategies for healthcare data platforms. • Perform ETL testing to validate data extraction, transformation, and loading processes. • Validate data completeness, accuracy, consistency, and timeliness across source and target systems. • Develop and maintain automated data validation frameworks using SQL, Python, or similar tools. • Test data pipelines, data warehouses, data lakes, and analytics/reporting layers. • Perform source-to-target data reconciliation and identify data anomalies. • Validate healthcare datasets such as claims, EHR/EMR, clinical, pharmacy, and eligibility data. • Ensure compliance with HIPAA, PHI, and healthcare data governance standards. • Collaborate with data engineers, BI teams, and business stakeholders to resolve data issues. • Create detailed test plans, test cases, defect reports, and QA documentation. • Support UAT and production data validation activities. Required Skills & Experience • 6-8+ years of experience in QA for data-centric projects, preferably in healthcare. • Should be able to write scripts and extract data for checking quality and validity • Need to understand healthcare systems and HIPA rules etc. related to data governance and privacy concerned. • Experience testing ETL tools (Informatica, Talend, SSIS, Databricks, etc.). • Knowledge of data warehouses, data lakes, and cloud platforms (Azure, AWS, or GCP) • Experience with automation for data testing using Python, PySpark, or similar tools. • Strong understanding of healthcare data domains (Claims, Clinical, Provider, Member). • Familiarity with ICD-10, CPT, HL7, FHIR standards is a plus. • Experience with Agile/Scrum methodologies. • Strong analytical, problem-solving, and communication skills.