Senior Engineer, Data Integration

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems. The Senior Engineer of Data Integration will be responsible for system integration, data ingestion, transformation and validation, and coordination of integration activities, primarily dealing with healthcare data formats like HL7 v2.x.

Responsibilities:

• Design and document integrations to and from client revenue cycle systems and the Ensemble Health Partners Data platforms
• Consulting and performing analysis of Epic Bridges and the Cloverleaf integrations
• Working knowledge of Healthcare Interoperability Protocols & Frameworks such as HL7 v2/v3, X12, FHIR, JSON, etc
• Ability to participate in multiple projects at the same time
• Strong analytical and business analysis skills
• Ability to perform workflow analysis and documentation
• Strong communication and interpersonal skills
• Demonstrated ability to interact with multi-disciplinary teams

Requirements:

• 3-5 years of related experience
• Strong Epic Bridges experience (coding or integrations)- highly preferred
• Working knowledge of Healthcare Interoperability Protocols & Frameworks: HL7 v2/v3, X12, FHIR, JSON, etc
• 5+ years of experience working with Azure
• Hands-on experience with Epic Bridges for healthcare data integrations using HL7-based interfaces
• Ability to participate in multiple projects at the same time
• Strong analytical and business analysis skills
• Ability to perform workflow analysis and documentation
• Strong communication and interpersonal skills
• Demonstrated ability to interact with multi-disciplinary teams
• Bachelor's degree or equivalent experience
• Experience maintaining and optimizing back-end processes
• Data profiling, transformation and validation experience
• Expert working knowledge and experience of DBMS
• Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences
• Preference given to candidates with Unix, Linux, TCL, Java, .NET, Azure and SQL expertise