Lead Healthcare Integration Specialist

Key Responsibilities

• Lead end-to-end client onboarding and data migration projects from legacy EHR vendors (e.g., Epic, Cerner, MEDITECH, eClinicalWorks) into target architectures.
• Extract, parse, map, and validate massive historical clinical datasets including demographics, laboratory results, medications, and clinical notes.
• Establish reliable VPN connections, MLLP endpoints, and secure REST/SOAP API channels directly with client-side IT systems.
• Develop, scale, and optimize core integration channels within our Mirth Connect interface engine using JavaScript, established integration patterns, and best practices.
• Build reusable, parameterized channel templates and code libraries to decrease client implementation times from months to days.
• Modernize legacy data structures by engineering automated transformation pipelines into FHIR API frameworks and cloud environments.
• Deploy, manage, and optimize integration workflows hosted within Google Cloud Platform (GCP), utilizing tools like Google Cloud Storage, Cloud Functions, and Cloud Run to stream or process clinical payloads.
• Act as the senior technical authority during client discovery calls, translating their unique data layouts into standard architectural schemas.
• Perform deep-dive unit testing, system-level validations, and technical rehearsals to guarantee zero data loss during high-stakes go-live migration windows.

Requirements

• Experience: 7+ years in healthcare IT integration, with a proven track record of successfully executing multi-EHR client implementations and data migrations.
• Mirth Connect Mastery: Elite, hands-on expertise building, debugging, and administering channels within Mirth Connect, with heavy reliance on custom JavaScript transformation logic.
• Cloud Architecture: Practical experience working with Google Cloud Platform (GCP) infrastructure, specifically around managing containers, serverless data processing, or secure storage pathways.
• Technical Stack: Deep fluency in HL7 v2/v3, C-CDA, FHIR APIs, SQL databases, and structured data formats (JSON, XML).
• EHR Architecture: Deep familiarity with data schemas, extraction methods, and messaging constraints across major commercial EHR platforms (e.g., Epic Bridges, Cerner Open Engine).
• Remote Delivery: High autonomy with the ability to lead technical client engagements independently, manage code delivery timelines, and collaborate asynchronously.