Lead Healthcare Integration Engineer

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    Skills

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    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Business Operationsunmatched
    • Business Solutionsunmatched
    • Business Supportunmatched
    • Cataloguingunmatched
    • Cernerunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Improvementunmatched
    • Continuous Integrationunmatched
    • Contract Creationunmatched
    • Contract Requirementsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Storageunmatched
    • Data Structuresunmatched
    • Database Administrationunmatched
    • Database Designunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Database Programmingunmatched
    • Database Triggersunmatched
    • Detail Orientedunmatched
    • DevOpsunmatched
    • Documentationunmatched
    • Electronic Medical Recordsunmatched
    • Epic Systemsunmatched
    • Equipment Maintenance/Repairunmatched
    • Flaskunmatched
    • Gitunmatched
    • GitHubunmatched
    • HIPAA (Health Insurance Portability and Accountability Act)unmatched
    • HL7 (Health Level 7)unmatched
    • HTML (HyperText Markup Language)unmatched
    • Healthcareunmatched
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    • Medical Record Systemunmatched
    • Mentoringunmatched
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    • Microsoft Certificationsunmatched
    • Microsoft Product Familyunmatched
    • Microsoft SQL Serverunmatched
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    • Multiplatform/Cross-Platformunmatched
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    Description

    Lead Healthcare Integration Engineer

    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
    • Collaborate with stakeholders to translate business requirements into technical solutions
    • Optimize data structures for reporting and analytics performance
    • Provide technical guidance and mentorship to junior developers and engineers
    • Contribute to data engineering best practices, standards, and patterns
    • Participate in architecture reviews and technical decision-making
    • Collaborate with DevOps and Infrastructure teams on platform improvements
    • Drive continuous improvement in data quality, performance, and reliability
    • Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows
    • Document data lineage, transformation logic, and business rules
    • Ensure all data handling practices meet HIPAA/HITRUST compliance requirements
    • Maintain audit trails and documentation for compliance purposes
    • Troubleshoot and resolve complex data-related issues across the platform
    • Provide escalation support for production incidents
    • Collaborate with cross-functional teams to support business operations
    • Participate in on-call rotation as needed

    Preferred:

    • 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, including message parsing and acknowledgment handling
    • Define and maintain OpenAPI specifications and API versioning; write contract tests to prevent breaking changes
    • Lead the document templating framework and server-side rendering pipeline for HTML-to-PDF output; ensure accessibility and compliance requirements

    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 related roles
    • Expert-level proficiency in T-SQL and Microsoft SQL Server
    • Expert-level proficiency of Python
    • Experience building REST APIs and background workers in Python (FastAPI/Flask)
    • Understanding of event-driven architectures and asynchronous processing patterns
    • Strong experience with Azure data services (Azure SQL, Data Factory, Synapse, Blob Storage, etc.)
    • Hands-on experience building and maintaining data pipelines and ETL/ELT processes
    • Knowledge of Power BI development skills including DAX, data modeling, and performance optimization
    • Solid understanding of database design principles, normalization, and data modeling
    • Experience with version control systems (Git) and CI/CD practices
    • Strong analytical and problem-solving abilities with attention to detail
    • Excellent written and verbal communication skills
    • Ability to work both independently and collaboratively in a team environment
    • Microsoft certification (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst)
    • Knowledge of Infrastructure as Code (Terraform, Bicep, ARM templates)
    • Knowledge of additional Azure services (Container Apps, Functions, Logic Apps)
    • Experience with other database platforms (PostgreSQL, CosmosDB)
    • Understanding of HIPAA/HITRUST compliance requirements for healthcare data
    • Experience PowerShell for automation and scripting
    • Experience with Azure DevOps or similar platforms for CI/CD
    • Experience with data governance, cataloging, and metadata management
    • Background in healthcare technology or regulated industries
    • Experience with OpenAPI/Swagger specification design and contract testing
    • Proficient in advanced usage of AI development tooling (e.g., Claude Code, GitHub Copilot)
    • Azure API Management and private networking patterns
    • Travel up to 15%.

    Preferred:

    • Practical experience with FHIR (resources, search parameters, OAuth2/SMART on FHIR) and C-CDA parsing/transformation
    • Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems
    • Experience with HL7 v2 (MLLP/MDM/ADT) message handling

    Numbers & Facts

    LocationDC

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