Lead Healthcare Interoperability Engineer

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Lead Healthcare Interoperability Engineer

• Design and implement scalable and secure data architectures on Azure to facilitate business intelligence, analytics, and operational systems.

• Build and maintain data pipelines utilizing Azure Data Factory, Azure Synapse, and associated services.

• Contribute to database design across various platforms including Azure SQL Database, SQL Managed Instance, PostgreSQL, and CosmosDB.

• Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases.

• Create data models and structures that support efficient analytics and reporting.

• Implement database DevOps processes such as schema versioning, deployment automation, and rollback procedures.

• Conduct database performance tuning, indexing strategies, and query optimization.

• Manage the database lifecycle through development, pre-production, and production environments using RedGate Flyway.

• Design and implement ETL/ELT processes to merge data from diverse sources.

• Develop event-driven data processing solutions including message producers, consumers, and workers utilizing Azure Service Bus, Event Grid, and associated 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.

• Create data transformation logic and orchestration workflows.

• Collaborate with stakeholders to translate business needs into technical solutions.

• Provide technical guidance and mentorship to junior developers and engineers.

• Create and maintain detailed technical documentation including data dictionaries, architecture diagrams, and process flows.

⛳️ Requirements

• Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent work experience.

• Over 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 in 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.).

• Practical experience in 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 skills with attention to detail.

• Excellent written and verbal communication abilities.

• Capacity to work independently as well as collaboratively within 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

• Health insurance

• Flexible working arrangements

• Professional development opportunities

• Work-life balance