
Lead Data Engineer – Healthcare Interoperability
Posted Sep 10

Posted Sep 10
This is a fully remote position, open to applicants in United States.
• Design and develop scalable and secure Azure data architectures for business intelligence, analytics, and operational systems.
• Construct and sustain data pipelines utilizing Azure Data Factory, Azure Synapse, and related services.
• Contribute to the design of databases across Azure SQL Database, SQL Managed Instance, PostgreSQL, and CosmosDB.
• Optimize storage solutions across Azure Blob Storage, Data Lake, and structured databases.
• Create data models and structures for analytics and reporting purposes.
• Develop stored procedures, functions, triggers, and views.
• Implement database DevOps methodologies, including schema versioning, deployment automation, and rollback strategies.
• Conduct performance tuning, indexing, and query optimization for databases.
• Ensure data integrity, security, and compliance with HIPAA/HITRUST for PHI.
• Manage database lifecycles throughout development, pre-production, and production using RedGate Flyway.
• Design ETL/ELT processes and event-driven processing solutions utilizing Azure Service Bus and Event Grid.
• Integrate external REST APIs and develop internal Python APIs using FastAPI/Flask on Azure Container Apps or Functions.
• Create transformation logic and orchestration workflows.
• Ensure data quality, consistency, and lineage.
• Integrate Azure AI services and machine learning endpoints as necessary.
• Review Power BI semantic models, reports, and dashboards.
• Translate stakeholder requirements into actionable technical solutions.
• Provide technical mentorship and guidance to junior developers and engineers.
• Engage in architecture reviews and contribute to technical decision-making.
• Collaborate with DevOps and Infrastructure teams to enhance platform capabilities.
• Generate technical documentation, data dictionaries, architecture diagrams, process flows, lineage documentation, and audit trails.
• Troubleshoot complex data issues and offer escalation support for production incidents.
• Participate in on-call rotation as necessary.
• Build EHR integrations utilizing FHIR and C-CDA, and support HL7 v2 message flows.
• Define OpenAPI specifications and manage API versioning, including writing contract tests.
• Lead document templating and server-side rendering of HTML-to-PDF pipelines.
• Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent professional experience.
• Over 8 years of experience in data engineering, database development, or similar roles.
• Expert-level knowledge in T-SQL and Microsoft SQL Server.
• Proficient in Python programming.
• Experience in creating REST APIs and background workers using Python (FastAPI/Flask).
• Understanding of event-driven architectures and asynchronous processing methodologies.
• Strong experience with Azure data services (including Azure SQL, Data Factory, Synapse, Blob Storage, etc.).
• Practical experience in building and maintaining data pipelines and ETL/ELT processes.
• Familiarity with Power BI development, including DAX, data modeling, and optimization techniques.
• Comprehensive understanding of database design principles, normalization, and data modeling.
• Experience with Git and CI/CD methodologies.
• Relevant Microsoft certifications (such as Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst).
• Knowledge of Infrastructure as Code (including Terraform, Bicep, ARM templates).
• Familiarity with Azure services like Container Apps, Functions, and Logic Apps.
• Experience with PostgreSQL and CosmosDB.
• Understanding of HIPAA/HITRUST compliance standards.
• Experience using PowerShell for automation and scripting tasks.
• Familiarity with Azure DevOps or comparable CI/CD platforms.
• Experience in data governance, cataloging, and metadata management.
• Background in healthcare technology or regulated industries.
• Experience with OpenAPI/Swagger specification design and contract testing.
• Proficiency in advanced AI development tools, such as Claude Code and GitHub Copilot.
• Knowledge of Azure API Management and private networking strategies.
• Ability to travel up to 15% as needed.
• Preferred: Practical experience with FHIR, C-CDA, Epic, Cerner, Athena, and HL7 v2/MLLP/MDM/ADT.
• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday leave policy.
• Opportunities for professional development and continuing education.
• Flexible work environment and options for remote work.
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