Role Summary
We are looking for an experienced
Azure Integration & Data Engineer
to design, develop, and maintain scalable cloud-based integration and backend data processing solutions. This role focuses on enabling reliable system-to-system communication, structured data processing, and secure data movement across enterprise platforms in a cloud-first environment.
The ideal candidate has strong experience in Azure integration services, backend data workflows, and complex data transformation logic.
Key Responsibilities
Design and implement cloud-based integration workflows using Azure services
Develop backend data processing pipelines for file-based and API-based integrations
Build transformation logic for JSON, XML, and other structured data formats
Implement validation, routing, and conditional data processing
Develop and maintain Azure Functions for parsing and transformation logic
Work with message queues, event-driven workflows, and file integrations
Design and maintain staging and operational databases in Azure SQL
Implement secure system-to-system communication
Ensure reliability through logging, monitoring, retries, and exception handling
Collaborate with downstream data and analytics teams
Support performance optimization, troubleshooting, and operational stability
Required Technical Skills
Azure cloud workflows and services: Logic Apps, Azure Functions (Python/C#), Azure SQL development, and secure Blob/file storage
REST APIs and integration design patterns
JSON, XML, and structured data mapping
Event-driven architecture fundamentals
Error handling, monitoring, and retry strategy implementation
Git and CI/CD practices
Preferred / Added Advantage
Exposure to
Microsoft Fabric
, including
Data Pipelines, Lakehouse, or OneLake concepts
Experience working with
modern cloud data lake architectures
Familiarity with
ETL/ELT data movement into analytics platforms
API gateway or API management experience
Messaging platforms (queues, pub/sub models, event systems)
Experience with industry-standard structured document formats
Practical experience building software in U.S. healthcare environments, accounting for HIPAA, PHI handling, and regulated data flows.
Experience writing and maintaining production code that leverages generative AI
Soft Skills
Strong analytical and problem-solving ability
Ability to understand complex data workflows
Clear communication with technical and non-technical stakeholders
Ownership mindset for system reliability
Experience
3+ years in cloud integration, backend development, or data engineering
Experience working in enterprise data environments
Experience designing or maintaining system integrations
