Data Integration Engineer - Healthcare Data Infrastructure

Transform healthcare with us. Qualified Health is seeking a Data Integration Engineer to serve as the technical implementation specialist for our healthcare data integration initiatives. In this hands-on role, you'll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform. You'll work in close partnership with a Data Integration Manager who handles client relationships and program coordination, allowing you to focus on solving complex technical challenges, ensuring data quality, and building reusable integration patterns. Your roles are complementary: You own : Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution Manager owns : Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations Together you deliver : Successful data integrations that meet partner needs on time with high quality This is a technical role for someone who loves working with data, enjoys solving puzzles, and takes pride in building reliable, production-grade solutions. Key Responsibilities: Technical Implementation Development (80%) Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks Build reusable data components and standardized integration patterns that accelerate future implementations Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization Implement data validation rules specific to healthcare contexts (e.g., clinical code validation, temporal logic checks, referential integrity) Write and maintain technical documentation for data pipelines, transformations, and integration patterns Support production deployments by coordinating with infrastructure teams and conducting final testing Collaboration Problem-Solving (20%) Partner with Data Integration Manager to translate partner requirements into technical specifications Participate in technical discussions with partner IT teams to understand data schemas, access methods, and integration constraints Provide technical guidance on data mapping specifications and transformation approaches Identify data quality issues and work with Manager to coordinate resolution with partners Share technical findings from QC and backtesting with Manager to inform partner conversations Contribute to continuous improvement of tools, processes, and technical standards Required Qualifications: 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes Strong analytical toolkit with proficiency in: PySpark for distributed data processing Advanced SQL for data querying and transformation Excel for data analysis and reporting Production ETL experience : Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring Data quality focus : Experience implementing validation frameworks and troubleshooting data quality issues Healthcare data experience : Prior work with healthcare datasets (EHR, claims, clinical, lab data) Problem-solving mindset : Ability to independently diagnose and resolve complex technical issues Attention to detail : Commitment to accuracy, testing, and delivering reliable solutions ... (truncated, view full listing at source)