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Verisma

Lead Healthcare Interoperability Engineer

Verisma

Lead Data Engineer joining healthcare technology team, focusing on interoperability and Azure data infrastructure. Designing, building, and maintaining data systems with EHR integrations.

Posted 7/28/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data architectures on Azure, with a strong focus on data pipeline development, database optimization, and ETL/ELT processes. Proficient in T-SQL, Python, and Azure data services, with a solid understanding of database design principles and performance optimization.

Highest-signal resume keywords
Azure Data ServicesT-SQLPython (FastAPI/Flask)ETL/ELT ProcessesDatabase Design Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringDatabase DevelopmentData Pipeline DevelopmentPerformance TuningData ModelingREST API DevelopmentEvent-Driven ArchitecturesVersion Control (Git)CI/CD PracticesData Transformation Logic
Soft Skills
Analytical AbilitiesProblem-SolvingCommunication SkillsTeam CollaborationMentorship
Tools & Technologies
Azure Data FactoryAzure SynapseAzure SQL DatabasePostgreSQLCosmosDBAzure Blob StoragePower BIRedGate FlywayAzure Service BusInfrastructure as Code (Terraform, Bicep)
Certifications & Qualifications
Azure Data Engineer AssociateAzure Database AdministratorPower BI Data Analyst
Industry Keywords
Healthcare InteroperabilityData ArchitectureBusiness IntelligenceAnalyticsOperational Systems

Tech Stack

Tools & technologies
AzureETLFlaskMS SQL ServerPostgresPythonSQLTerraform

About the role

Key responsibilities & impact
  • Lead Healthcare Interoperability Engineer
  • 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
  • Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures
  • Perform database performance tuning, indexing strategies, and query optimization
  • 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
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Provide technical guidance and mentorship to junior developers and engineers
  • Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows

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 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)

Benefits

Comp & perks
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities
  • Work-life balance