Lead Healthcare Integration Engineer

verisma; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Verisma is seeking a Lead Healthcare Integration Engineer to architect and deliver Azure‑based data platforms for healthcare interoperability. The role focuses on integrating EHR data, standards like FHIR and HL7, and secure analytics infrastructure.

You will guide architectural decisions, ensure HIPAA/HITRUST compliance, and mentor a team of engineers. You will design scalable data pipelines, build API integrations, and collaborate with BI professionals to enable trusted data for reporting and

Qualifications

• Bachelor’s degree or equivalent work experience in a technical field.
• 8+ years of data engineering, database development, or related roles.
• Proficiency in T‑SQL and Microsoft SQL Server.
• Proficient in Python and REST API development (FastAPI/Flask).
• Experience with Azure data services and ETL/ELT pipelines.
• Knowledge of data modeling, BI, and performance tuning.
• HIPAA/HITRUST compliance experience preferred.

Responsibilities

• Design scalable, secure data architectures on Azure for BI, analytics, and ops.
• Build data pipelines with Azure Data Factory, Synapse, and related services.
• Contribute to multi‑platform databases (Azure SQL, PostgreSQL, CosmosDB).
• Optimize storage across Azure Blob, Data Lake, and databases.
• Design data models for efficient analytics and reporting.
• Develop stored procedures, functions, and views; enable DevOps for DBs.
• Ensure data integrity, security, and HIPAA/HITRUST compliance.
• Mentor engineers and participate in architecture reviews.
• Collaborate with DevOps and infrastructure teams for platform improvements.
• Create technical documentation and data lineage artifacts.

Skills

Azure Data Services

Python

SQL Server / T‑SQL

REST APIs

ETL/ELT

Data Modeling

Power BI

CI/CD

HIPAA/HITRUST

OpenAPI/Swagger

Terraform / IaC

EHR Interoperability

Education

Bachelor's degree in CS / related field

Tools

Git

Azure DevOps

Flyway

Job 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