Lead - data qa / tester

Job Description

A health insurance client's Enterprise Data Office is actively hiring for someone to build and lead their QA/Test practice across their data engineering platforms and projects. This person will design and implement a robust data driven quality assurance framework to ensure data integrity throughout the organization. You will leverage your understanding of healthcare data standards (i.e. HEDIS, FHIR, CMS interoperability, etc.) and Azure Data Platform (Databricks, ADF pipelines and SQL) to design and implement automated validation frameworks for large-scale data ingestion and transformation processes. Key responsibilities include:

LEADERSHIP (30-40%)

• Ensure to cover functional, non-functional, integration, security and performance aspect.

• Lead and mentor a team of data QA analysts/testers across multiple projects.

• Establish data quality SLAs, metrics, and dashboards for business-critical datasets.

• Ensure data QA practices adhere to HIPAA, CMS, and payer industry standards.

• Document QA processes, test results, and provide audit-ready evidence.

TECHNICAL ( 60-70%)

• Design and implement test plans, test cases, and test automation for data pipelines (ELT/ETL).

• Define QA automation strategy for Databricks (Delta Live Tables, Delta constraints) and ADF pipelines.

• Embed DLT expectations and enforce Delta table constraints for schema and business rule validation.

• Automate ADF pre/post-copy checks, schema drift detection, and reconciliation logic.

• Develop Azure DevOps pipelines with QA gates for Databricks Jobs and ADF deployments.

NOTE: this is a hybrid onsite role requiring at least 1-2 days per week onsite in the Newtown Square, PA area

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 matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, 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 recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 10+ years of QA/Testing for data specific projects

• 5+ years of experience as a Lead/Consultant/Manager strategically building out QA/Test capabilities

• 5+ years in the healthcare industry

• Strong expertise in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog).

• Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD).

• Proficiency in Python, PySpark, SQL for test automation. - Experience with HL7/FHIR data models beyond payer use cases.

• Experience with Lakehouse architecture and medallion design patterns.

• Familiarity with BI tools (Power BI, Tableau) to validate reporting layer data.

• Understanding of data governance platforms (e.g., Collibra).

• Knowledge of automation frameworks for data QA and pipeline regression testing.

Certifications: Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer.