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Data Engineer - FHIR Expertise

Walter

United States Remote permanent

Posted: October 8, 2025

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Quick Summary

The Data Engineer will be responsible for developing AI-powered medical assistants tailored to healthcare systems, integrating policy recommendations, and supporting nursing workflows.

Job Description

Our client is a forward-thinking company focused on creating cutting-edge medical AI assistants. Their mission is to revolutionize healthcare by integrating AI into health systems to improve efficiency, patient experience, and overall system management.

About the Role

The client is seeking a SME's with Fast Healthcare Interoperability Resources / FHIR expertise and/or Epic Clarity experience to lead the development of AI-powered medical assistants tailored to healthcare systems. This pivotal role involves managing complex workflows, integrating policy recommendations, and supporting nursing staff operations with advanced data solutions.

Tasks & Deliverables

• Build and Enhance Medical AI Assistants data: Develop AI solutions that optimize patient recommendations, medical policy integrations, and support health system submissions data.
• Data Management & Integration: Spearhead data extraction and management, with a focus on big data and cloud solutions.
• FHIR Audit & Data Mapping: Conduct FHIR audits and establish data mapping to streamline clinical workflows.
• Experience with HL7
• JSON


Requirements:
Expertise in Data Engineering & Management and handling large datasets.

• FHIR (Fast Healthcare Interoperability Resources) proficiency.
• Solid background in Healthcare IT and Clinical Workflow expertise.
• Previous experience on Epic Clarity.

Nice-to-have Skills

• Experience with Health Systems Management and Nursing Operations Support.
• Knowledge of Insurance Companies Integration with medical policy recommendations.
• Familiarity with developing smart apps aimed at improving patient history and data accessibility.


Benefits:
Engagement Details

• Commitment Type: Full-time
• Duration: 3 - 6 months
• Location: US-based
• Start Date: Immediate start

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