Healthcare Data Quality Engineering Lead-Remote
Posted 3 days ago by Cyber Sphere LLC
Negotiable
Undetermined
Remote
Remote
Summary: The Healthcare Data Quality Engineering Lead is a remote position focused on leading technical teams in a large-scale healthcare data modernization initiative. The role requires extensive experience in data engineering and quality assurance within healthcare environments, emphasizing the migration of legacy data systems to modern platforms. Candidates must possess a deep understanding of healthcare data domains and demonstrate strong leadership and mentoring capabilities. This position plays a critical role in ensuring data accuracy, quality, and governance throughout the project lifecycle.
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.
Key Skills:
- 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.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.