Lead Healthcare Integration Engineer - remote job

Verisma is hiring a Lead Healthcare Integration Engineer - a lead role, which means responsibility for a team or a direction. The role sits in IT and programming and is fully remote. The company places no restriction on where the candidate lives, so you can apply from anywhere.

The main tools named in the advert are: Python, SQL. Your CV should show concrete examples of exactly these skills.

The employer published the pay: $140k - $160k a year. The advert sets no condition on working hours.

This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.

Healthcare Data Engineering Lead Position

We are currently in search of a highly skilled Lead Data Engineer to join our dynamic healthcare technology team. This position will play a crucial role in developing, implementing, and maintaining our Azure-based data infrastructure, with a focus on integrating with Electronic Health Record (EHR) systems and healthcare data exchange standards (FHIR, C-CDA, HL7). The successful candidate will possess extensive expertise in the Microsoft data ecosystem, strong architectural design capabilities, and a deep understanding of healthcare data compliance regulations. This senior-level role will also involve providing technical guidance and mentorship to the broader engineering team, reporting to the Director of Data Engineering.

Responsibilities:

- Design and execute scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems. - Construct and sustain data pipelines using Azure Data Factory, Azure Synapse, and other relevant services. - Participate in the design and management of databases across various platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB). - Optimize data storage methods across Azure Blob Storage, Data Lake, and structured databases. - Develop data models and structures that enhance efficient analytics and reporting. - Create, develop, and maintain complex stored procedures, functions, triggers, and views. - Implement database DevOps practices, including schema versioning, deployment automation, and rollback procedures. - Fine-tune database performance, implement indexing strategies, and optimize queries. - Ensure data integrity, security, and compliance with HIPAA/HITRUST standards for protected health information (PHI). - Manage the database lifecycle across development, pre-production, and production environments with RedGate Flyway. - Design and implement ETL/ELT processes to integrate data from diverse sources. - Build event-driven data processing solutions, including message producers, consumers, and workers using Azure Service Bus, Event Grid, and related 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, and dashboards. - Collaborate with stakeholders to transform business requirements into technical solutions. - Optimize data structures for reporting and analytics performance. - Offer technical advice and mentorship to junior developers and engineers. - Participate in data engineering best practices, standards, and design patterns. - Engage in architecture reviews and technical decision-making. - Work with DevOps and Infrastructure teams on platform enhancements. - Promote continuous improvement in data quality, performance, and reliability. - Create and maintain detailed technical documentation, including data dictionaries, architecture diagrams, and process flows. - Document data lineage, transformation logic, and business rules. - Ensure all data handling practices comply with HIPAA/HITRUST standards. - 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 rotations as needed.

Preferred Skills and Experience:

- Design 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 necessary, 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.

Qualifications and Experience:

- Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent experience. - At least 8 years of experience in data engineering, database development, or similar roles. - Proficiency in T-SQL and Microsoft SQL Server. - Expertise in Python. - Experience building REST APIs and background workers in Python (FastAPI/Flask). - Understanding of event-driven architectures and asynchronous processing patterns. - Extensive 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. - Strong Power BI development skills, including DAX, data modeling, and performance optimization. - Solid knowledge of database design principles, normalization, and data modeling. - Experience with version control systems (Git) and CI/CD practices. - Strong analytical and problem-solving skills with a keen eye for detail. - Excellent written and verbal communication skills. - Ability to work independently and collaboratively in a team environment. - Microsoft certifications (Azure Data Engineer Associate, Azure Database Administrator, Power BI Data Analyst). - Familiarity with Infrastructure as Code (Terraform, Bicep, ARM templates). - Experience with 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 with PowerShell for automation and scripting. - Experience with Azure DevOps or similar platforms for CI/CD. - Experience in 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 AI development tooling (e.g., Claude Code, GitHub Copilot). - Experience with Azure API Management and private networking patterns. - Willingness to travel up to 15%.