Lead Data Engineer- Healthcare Interoperability
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Nice to have
- Build and maintain integrations with EHR systems using FHIR resources (e.g., Patient, DocumentReference) and C-CDA document parsing/transformation Support HL7 v2/MDM/ADT message flows where needed, in
- Experience & Qualifications: Required:
- Bachelor’s degree in computer science, Information Systems, Data Engineering, or related field, or equivalent work experience 8+ years of experience in data engineering, database development, or relat
- Knowledge of additional Azure services (Container Apps, Functions, Logic Apps) Experience with other database platforms (PostgreSQL, CosmosDB) Understanding of HIPAA/HITRUST compliance requirements fo
Full description
Lead Data Engineer- Healthcare Interoperability
We are seeking an experienced Lead Data Engineer to join our healthcare technology team with a primary focus on healthcare interoperability. This role will be instrumental in designing, building, and maintaining our Azure-based data infrastructure, including databases, data pipelines, analytics platforms, and business intelligence solutions — with an emphasis on integrating with Electronic Health Record (EHR) systems and healthcare data exchange standards (FHIR, C-CDA, HL7). The ideal candidate will have deep expertise in the Microsoft data stack, strong architectural thinking, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership, mentorship to the broader engineering team and reports to the Director of Data Engineering.
Duties & Responsibilities:
Design and implement scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems
Build and maintain data pipelines using Azure Data Factory, Azure Synapse and related services
Contribute to database designs across multiple platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB)
Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases
Design data models and structures that enable efficient analytics and reporting
Design, develop, and maintain complex stored procedures, functions, triggers, and views
Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures
Perform database performance tuning, indexing strategies, and query optimization
Ensure data integrity, security, and compliance with HIPAA/HITRUST requirements for PHI data
Manage database lifecycle across development, pre-production, and production environments utilizing RedGate Flyway
Design and implement ETL/ELT processes to integrate data from multiple sources
Build event-driven data processing solutions including message producers, consumers, and workers using Azure Service Bus, Event Grid, and related messaging services
Integrate with external REST APIs for data ingestion and develop internal data APIs using Python (FastAPI/Flask) on Azure Container Apps or Functions
Develop data transformation logic and orchestration workflows
Ensure data quality, consistency, and lineage across the data platform
Integrate with Azure AI services and machine learning endpoints as needed
Review designs of Power BI solutions including semantic models, reports, & dashboards