Data Engineer

📋 Description

• Design, develop, and maintain robust data engineering pipelines for healthcare, clinical, and
• Implement specialized healthcare data integration solutions, including DICOM metadata extraction
• Develop and optimize automated medical coding pipelines that support accurate, traceable coding
• Build and maintain regulatory-compliant data architectures that align with GxP requirements and 21
• Develop custom Model Context Protocol (MCP) toolsets and secure agent orchestration layers to
• Establish data validation, quality assurance, and monitoring mechanisms to maintain data integrity

🎯 Requirements

• At least 6 years of professional experience in data engineering or a closely related technical
• Hands-on experience with healthcare-specific data extraction, transformation, normalization, and
• Practical knowledge of PACS and VNA archive integration and experience working with medical imaging
• Strong understanding of healthcare data standards, including FHIR, HL7, ICD-10, and CPT, with
• Demonstrated experience designing or implementing GxP-compliant architectures and systems aligned
• Deep familiarity with the Model Context Protocol (MCP), including the development of custom MCP

🎁 Benefits

• Remote work: Flexibility to work remotely from India.
• Contract opportunity: A contract-based engagement offering the opportunity to contribute
• Technical challenges: Exposure to advanced healthcare interoperability, medical imaging data
• Specialized expertise: Opportunities to apply and deepen knowledge of MCP, FHIR, HL7, DICOM, and
• Professional growth: Experience working on complex technology solutions at the intersection of
• Inclusive workplace: A commitment to diversity, equity, inclusion, and creating an environment