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Lead Healthcare Integration Engineer
Verisma

Verisma
Posted 2026-09-09
About the role
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
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