Health IT Data Engineer

PMdigital.ai is looking for a Health IT Data Engineer to join our growing team. This work will be performed primarily in a remote/virtual environment but may require on-site activities at IHSC Headquarters in Washington, DC on an as-needed basis, as determined by the Government.  

Summary: Performs advanced data-engineering and analytics-infrastructure work supporting IHSC Health IT modernization and enterprise data environments. The Data Engineer designs, develops, configures, tests, maintains, and documents secure data pipelines, data structures, transformations, and integration workflows within authorized Government-managed environments using Government-approved data sources. 

Duties and Responsibilities 

• Design, develop, test, implement, and maintain approved data pipelines for ingestion, transformation, validation, movement, and storage of Government-approved data. 
• Develop and maintain ETL/ELT processes, data transformations, reusable data components, and related engineering workflows. 
• Design and maintain data structures, schemas, data models, staging structures, and other data-engineering components required for assigned solutions. 
• Implement data-quality controls, validation routines, error handling, logging, monitoring, and reconciliation processes. 
• Optimize data-processing performance, scalability, reliability, maintainability, and operational efficiency. 
• Develop and maintain technical documentation, data-flow diagrams, source-to-target documentation, configuration documentation, and operating procedures. 
• Support migration, integration, interoperability, analytics, reporting, and data-modernization activities. 
• Troubleshoot pipeline, transformation, data-quality, and data-integration defects; document root causes; implement approved corrections; and validate results. 

Coordinate with Data Scientists, Data Analysts, Reporting Analysts, Solutions Developers, Systems Integration personnel, and other applicable technical stakeholders. 

• Support implementation and production-readiness activities through applicable Government-approved change-control and release-management processes. 
• Use approved technologies such as SQL, Python, ETL/ELT frameworks, and Government-authorized cloud or data-platform capabilities as appropriate to assigned work. 

Required Knowledge, Skills, and Abilities 

• Demonstrated experience designing and implementing production-quality data pipelines, transformations, and data-engineering solutions. 
• Proficiency with SQL and applicable data-engineering, scripting, ETL/ELT, database, and data-platform technologies. 
• Knowledge of data architecture, data modeling, data quality, integration, security, and performance optimization. 
• Ability to troubleshoot complex data-engineering and integration issues and implement reliable solutions. 
• Ability to create clear technical documentation and communicate effectively with technical and nontechnical stakeholders. 
• Experience with healthcare, Health IT, enterprise data platforms, or regulated data environments is preferred.