Epic Bridges Integration Consultant

  • Posted 2 hours ago | Updated moments ago

Overview

Remote
Accepts corp to corp applications
Contract - long term

Skills

Data Modeling
API
Metadata
USE Cases
Best Practices
SQL
Database Modeling
Deployment
REST
ETL
HL7
JSON
EPIC
data quality
HIPAA
Data Services
Data Governance
Data Pipelines
Real Time
Natural Language Processing
Real-Time
Maintain Data
Bridges

Job Details

Job Title: Epic Bridges Integration Consultant

Experience: 10+ years

Location: Remote

What's in it for you?
We are looking for a seasoned professional with hands-on expertise in leveraging Epic Bridges to transmit Epic data in HL7 format in real-time. The client is also exploring Redox as an interface engine to process this HL7-format data and transform it into REST API format (e.g., JSON) for ingestion into a cloud-based data platform (Databricks).

Responsibilities:

  • Serve as a technical lead with practical experience utilizing Epic Bridges to transmit Epic data in HL7 format in real time.

  • Work in an environment integrating Redox as an interface engine to convert HL7 data into REST APIs (e.g., JSON) for consumption by Databricks.

  • Lead the full lifecycle (design to deployment) of data pipelines that ingest, normalize, and integrate Epic data to support chatbot and conversational AI use cases.

  • Interface with Epic systems using APIs such as FHIR, HL7, Chronicles, Bridges, and Clarity/Caboodle to extract clinical data.

  • Architect scalable solutions on Azure using services like ADF, ADLS Gen2, Azure Synapse, Azure SQL, and Databricks.

  • Collaborate closely with product and NLP/AI teams to make data accessible for conversational models.

  • Possess strong knowledge of Epic data models (Clarity, Caboodle) and experience extracting data using Epic APIs.

  • Demonstrate deep understanding and hands-on experience with Azure data services: ADF, ADLS Gen2, Azure SQL, Azure Synapse, and Databricks.

  • Expertise in ETL/ELT processes, data modeling, and building scalable data infrastructure.

  • In-depth knowledge of FHIR/HL7 standards and healthcare interoperability.

  • Prior experience contributing to chatbot or AI/ML projects is highly desirable.

  • Ensure data compliance with HIPAA and healthcare regulations, prioritizing privacy and security.

  • Establish and maintain data governance best practices including data quality, lineage, metadata, and observability.

  • Exhibit excellent communication and stakeholder engagement skills.

Educational Qualifications:
Bachelor's or Master's Degree in Engineering, Technology, or related fields (BE/ME/BTech/MTech/BSc/MSc).
Technical certifications across relevant technologies are highly desirable.

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