Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems. The Senior Engineer, Data Integration is responsible for system integration, data ingestion, transformation, and validation, 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
- Develop and implement these HL7/EDI interfaces and rest API’s using the Cloverleaf Interface Engine and .NET framework
- Working knowledge of Healthcare Interoperability Protocols & Frameworks: 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:
- Cloverleaf Certification
- 5 to 7 Years of Desired Work Experience
- Bachelors Degree or Equivalent Experience
- Design and document integrations to and from client revenue cycle systems and the Ensemble Health Partners Data platforms
- Develop and implement these HL7/EDI interfaces and rest API's using the Cloverleaf Interface Engine and .NET framework
- Working knowledge of Healthcare Interoperability Protocols & Frameworks: 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
- 5+ years Experience developing and maintaining system interfaces in the healthcare domain using the Cloverleaf Interface Engine
- Cloverleaf Level 2+ Certified
- 5+ years of experience working with Azure
- Experience maintaining and optimizing back-end processes
- Data profiling, transformation and validation experience
- Expert working knowledge and experience of DBMS
- Preference given to candidates with Unix, Linux, TCL, Java, .NET, Azure and SQL expertise
- 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