Healthcare Data Quality Engineering Lead-Remote

Title - Healthcare Data Quality Engineering Lead

Location-Remote

Duration Contract

Job Title: Healthcare Data Quality Engineering Lead

Location: USA (Remote/Hybrid)

Experience: 10+ Years

Must Have

• Data Engineering, Data Quality Engineering, QA Leadership
• Healthcare industry experience is mandatory.
• Deep understanding of healthcare data domains, including pharmacy, clinical, claims, provider, and member data.

• Data Engineering, Data Quality Engineering, QA Leadership, or a related role.
• SQL, ETL, DW, Databricks, Azure Data Services and cloud-native architectures.

Position Summary

We are seeking experienced Healthcare Data Engineering & Quality Leads to support a large-scale healthcare data modernization initiative. The ideal candidates will be hands-on technical leaders with expertise in data engineering, data quality, and quality assurance practices within healthcare environments. These roles will play a critical part in migrating legacy on-premise data warehouse solutions to a modern Databricks-based platform while ensuring data accuracy, quality, and governance.

Key Responsibilities

• Lead and mentor technical teams while remaining actively involved in solution design, development, testing, and delivery.
• Design, develop, and optimize data pipelines, ETL/ELT processes, and dynamic SQL frameworks using Databricks and SQL.
• Support the migration of legacy on-premise Enterprise Data Warehouse (EDW) environments to cloud-based data platforms.
• Develop and execute data quality validation strategies, reconciliation processes, and testing frameworks.
• Establish and manage test cases, test plans, defect tracking, and quality assurance processes within DevOps environments.
• Collaborate with business stakeholders, architects, product owners, and cross-functional teams to ensure successful project delivery.
• Analyze healthcare data sources and integrations, including pharmacy, clinical, claims, provider, member, and operational data.
• Perform root cause analysis and resolve data quality, integration, and testing issues.
• Implement automation, continuous integration, and continuous testing best practices.
• Contribute to process improvement initiatives and establish standards for data engineering and quality assurance.

Required Qualifications

• 8+ years of experience in Data Engineering, Data Quality Engineering, QA Leadership, or a related role.
• Strong hands-on expertise with SQL development and query optimization.
• Experience working with Databricks or modern cloud-based data platforms.
• Proven experience supporting data warehouse modernization, migration, or cloud transformation initiatives.
• Strong understanding of data validation, ETL testing, data reconciliation, and quality assurance methodologies.
• Experience with test case management, defect lifecycle management, and release validation.
• Healthcare industry experience is mandatory.
• Deep understanding of healthcare data domains, including pharmacy, clinical, claims, provider, and member data.
• Strong leadership, mentoring, and stakeholder management skills.
• Excellent communication and problem-solving abilities.

Preferred Qualifications

• Experience with Azure Data Services and cloud-native architectures.
• Familiarity with DevOps, CI/CD pipelines, and automated testing frameworks.
• Exposure to AI-assisted development, SQL generation, or test automation tools.
• Knowledge of healthcare interoperability standards and regulatory requirements.
• Experience leading distributed or offshore delivery teams.

Success Factors

• Ability to balance technical leadership with hands-on execution.
• Strong understanding of healthcare data ecosystems and business processes.
• Capability to lead teams while driving engineering excellence and quality standards.
• Passion for modernizing data platforms and implementing scalable, high-quality solutions.