Data QA Engineer

Role: **Data QA Engineer** As a Data QA Engineer you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards . **Experience: \- Min** 10\+Years **Location: \-** **Remote USA** **Responsibilities:** **10\+ years** of experience in Data QA, ETL Testing, or Data Validation. Strong healthcare domain expertise in: o Claims Data o Payer Data o Provider Data o MRF / Price Transparency Data Hands\-on experience with: o Data Quality Testing o Source\-to\-Target Validation o Data Reconciliation o ETL/ELT Testing o Medallion Architecture Validation **Advanced SQL proficiency,** including complex joins, CTEs, window functions, aggregations, and large\-scale data reconciliation. Experience validating cloud\-based data platforms and Lakehouse environments **Preferred Technical Skills** Databricks, Snowflake, Azure, AWS, or GCP. Delta Lake and Lakehouse architecture. Python or PySpark for data validation and automation. Knowledge of healthcare standards such as ICD\-10, CPT, NPI, HL7, or FHIR. Exposure to Agile delivery and CI/CD practices. **Educational Qualifications: \-** Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. **Mandatory skills:** **Snowflake, Advanced SQL, ETL testing,** **Healthcare** VeeRteq Solutions is an Equal Opportunity Employer