Lead Data Engineer – Healthcare Interoperability

Verisma

. Design and implement scalable, secure Azure data architectures for business intelligence, analytics, and operational systems .

Posted 11/9/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable Azure data architectures, optimizing data pipelines, and ensuring compliance with HIPAA/HITRUST standards. Proficient in database development, data modeling, and integrating various data sources while providing technical guidance and mentorship.

Highest-signal resume keywords

Expert-Level Proficiency In T-SQLExpert-Level Proficiency In PythonStrong Experience With Azure Data ServicesExperience Building REST APIsKnowledge Of HIPAA/HITRUST Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase DevelopmentETL/ELT ProcessesData ModelingDatabase Performance TuningData Pipeline MaintenanceEvent-Driven ArchitecturesData Transformation LogicData Quality AssuranceAPI Development

Soft Skills

Analytical AbilitiesProblem-Solving SkillsAttention To DetailWritten CommunicationVerbal Communication

Tools & Technologies

Azure Data FactoryAzure SynapseAzure SQL DatabasePostgreSQLCosmosDBPower BIGitAzure DevOpsPowerShellFHIR

Certifications & Qualifications

Azure Data Engineer AssociateAzure Database AdministratorPower BI Data Analyst

Industry Keywords

Healthcare TechnologyHIPAA ComplianceData GovernanceMetadata ManagementEHR IntegrationsHL7 v2OpenAPI SpecificationCI/CD PracticesInfrastructure As CodeAsynchronous Processing

Tech Stack

Tools & technologies

AzureETLFlaskMS SQL ServerPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement scalable, secure Azure data architectures for 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 Azure SQL Database, SQL Managed Instance, PostgreSQL, and CosmosDB
Optimize storage strategies across Azure Blob Storage, Data Lake, and structured databases
Design data models and structures for analytics and reporting
Develop and maintain stored procedures, functions, triggers, and views
Implement database DevOps processes, including schema versioning, deployment automation, and rollback procedures
Perform database performance tuning, indexing, and query optimization
Ensure data integrity, security, and HIPAA/HITRUST compliance for PHI data
Manage database lifecycles across development, pre-production, and production using RedGate Flyway
Design and implement ETL/ELT processes integrating multiple data sources
Build event-driven processing solutions using Azure Service Bus and Event Grid
Integrate external REST APIs and develop internal Python APIs using 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 Azure AI services and machine learning endpoints as needed
Review Power BI semantic models, reports, and dashboards
Translate business requirements into technical solutions with stakeholders
Provide technical guidance and mentorship to junior developers and engineers
Contribute to data engineering standards, best practices, 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
Maintain technical documentation, including data dictionaries, architecture diagrams, process flows, data lineage, transformation logic, and business rules
Maintain audit trails and compliance documentation
Troubleshoot complex data-related issues and provide production escalation support
Participate in on-call rotation as needed
Build and maintain EHR integrations using FHIR and C-CDA
Support HL7 v2/MDM/ADT message flows, including parsing and acknowledgment handling
Define OpenAPI specifications and API versioning and write contract tests
Lead document templating and server-side HTML-to-PDF rendering while ensuring accessibility and compliance

Requirements

What you’ll need

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 in 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, including Azure SQL, Data Factory, Synapse, and Blob Storage
Hands-on experience building and maintaining data pipelines and ETL/ELT processes
Knowledge of Power BI development, including DAX, data modeling, and performance optimization
Solid understanding of database design principles, normalization, and data modeling
Experience with Git and CI/CD practices
Strong analytical and problem-solving abilities with attention to detail
Excellent written and verbal communication skills
Ability to work independently and collaboratively
Microsoft certification (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst)
Knowledge of Infrastructure as Code, including Terraform, Bicep, and ARM templates
Knowledge of Azure Container Apps, Functions, and Logic Apps
Experience with PostgreSQL and CosmosDB
Understanding of HIPAA/HITRUST compliance requirements for healthcare data
Experience with PowerShell for automation and scripting
Experience with Azure DevOps or similar CI/CD platforms
Experience with 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 tooling, such as Claude Code and GitHub Copilot
Knowledge of Azure API Management and private networking patterns
Practical experience with FHIR, including resources, search parameters, OAuth2, and SMART on FHIR
Experience integrating with Epic, Cerner, Athena, or other EHR/EMR systems
Experience with HL7 v2, including MLLP, MDM, and ADT message handling
Ability to travel up to 15%

Benefits

Comp & perks

Remote or virtual work arrangement
Travel up to 15%
Technical leadership and mentorship opportunities
Microsoft certification opportunities/requirements involving Azure Data Engineer Associate, Azure Database Administrator, or Power BI Data Analyst