Data Engineer - Healthcare
Abhilash KumarRemoteMIDPosted 12d ago
IBM iAS400RPG/RPGLECL/CLLEDB2 for iSQLBatch processingJob schedulingFile processingData interfacesProduction supportTroubleshootingData validationReconciliation
About the Role
We are seeking experienced AS400 / IBM i professionals with healthcare payer domain experience to support HEDIS, Stars, quality measurement, and regulatory reporting applications. The resource will work within the quality reporting ecosystem, supporting applications and data processes used for quality measure calculation, data validation, reporting, reconciliation and downstream analytics.
Key Responsibilities
• Handle flat files, physical and logical files, CSV files, and other data exchange formats and loaded into database
• Write complex SQL queries, joins, subqueries, aggregations, and common table expressions where supported
• Collaborate with business, quality, application, and reporting teams to ensure accurate, consistent, and auditable healthcare data outputs
• Work with RPG/RPGLE, CL/CLLE, DB2 for i and SQL
• Develop, enhance and maintain applications on IBM i / AS400
• Analyze existing programs, batch jobs, interfaces and reporting processes
• Develop and modify programs supporting healthcare quality data processing
• Troubleshoot application, data and production issues
• Perform impact analysis for application and reporting changes
• Optimize SQL queries, database access and batch processing
• Support scheduled jobs, file processing and downstream interfaces
Requirements
• 5+ years of AS400 / IBM i development experience
• Strong IBM i / AS400 development experience
• RPGLE / RPG IV
• CL / CLLE
• DB2 for i
• Strong SQL
• Batch processing and job scheduling
• File processing and data interfaces
• Production support and troubleshooting
• Data validation and reconciliation
• Strong analytical and problem-solving skills
• US healthcare payer experience (preferred but optional)
• Healthcare claims and member data experience (preferred but optional)
• HEDIS / Quality Reporting (preferred but optional)
• Understanding of healthcare quality measures (preferred but optional)
• Experience working with large healthcare datasets (preferred but optional)