Data Integration Engineer

Responsibilities

• Design, develop, and maintain enterprise integration solutions utilizing APIs, event-driven architectures, messaging platforms, and cloud-native integration services.
• Develop and support integrations between healthcare platforms, pharmacy systems, claims systems, eligibility platforms, financial systems, SaaS applications, partner ecosystems, and enterprise data platforms.
• Design and implement API-based integration patterns utilizing REST APIs, GraphQL, SOAP services, webhooks, and modern service-oriented architectures.
• Design and support event-driven architectures utilizing Azure Event Hub, Event Grid, Service Bus, Kafka-compatible services, and messaging platforms.
• Build and maintain secure integrations supporting Azure Databricks, Azure Data Lake Storage Gen2, analytics platforms, reporting systems, AI services, and operational applications.
• Design and implement healthcare data exchange solutions supporting claims, eligibility, pharmacy, clinical, operational, financial, and third-party partner data.
• Develop integration mappings, transformation rules, canonical message structures, interface specifications, and data exchange standards.
• Support ingestion and movement of structured, semi-structured, and unstructured data across enterprise systems and cloud platforms.
• Partner with Data Engineering teams to support ingestion of source system data into lake house environments and enterprise data platforms.
• Support enterprise AI, machine learning analytics, and automation initiatives through development of secure, scalable integration services and data exchange capabilities.
• Design integrations supporting intelligent automation, robotic process automation (RPA), workflow orchestration, agent‑based AI solutions, and low-code/no-code platforms.
• Develop and maintain integrations utilizing Azure Functions, Logic Apps, API Management, Service Bus, Event Hub, Event Grid, and related Azure-native services.
• Design reusable integration frameworks, patterns, templates, and standards supporting enterprise interoperability initiatives.
• Implement CI/CD pipelines supporting integration deployment, testing, monitoring, and lifecycle management.
• Develop automated integration testing, validation, monitoring, and observability capabilities.
• Monitor integration performance, throughput, latency, failures, and service health while implementing proactive remediation and alerting.
• Implement secure integration practices including authentication, authorization, encryption, secrets management, auditing, and compliance controls.
• Support API lifecycle management, API governance, versioning, throttling, monitoring, and developer enablement practices.
• Collaborate with security teams to implement secure service‑to‑service communication, RBAC, managed identities, OAuth, OpenID Connect, and enterprise security controls.
• Maintain integration architecture documentation, interface specifications, operational runbooks, data flow diagrams, and support procedures.
• Participate in sprint planning, code reviews, architecture reviews, and agile delivery processes.
• Evaluate emerging integration technologies, automation platforms, API management capabilities, and cloud-native integration services.
• Partner with Dev Ops and Cloud Engineering teams to implement Infrastructure-as-Code, deployment automation, monitoring, and operational best practices.
• Participate in, adhere to, and support compliance, people and culture, and learning programs.
• Perform other duties as assigned.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field required
• 5+ years of experience in Integration Engineering, Application Integration, API Development, Middleware Engineering, Enterprise Integration, or related disciplines required
• Experience designing and implementing enterprise API architectures, event-driven architectures, and cloud-native integration platforms required
• Experience supporting healthcare integrations, data exchanges, claims systems, eligibility systems, pharmacy systems, EDI transactions, or healthcare interoperability preferred
• Experience developing integrations utilizing Azure Functions, Logic Apps, API Management, Service Bus, Event Hub, Event Grid, and related Azure-native integration services preferred
• Experience supporting Azure Databricks, Azure Data Lake Storage Gen2, analytics platforms, and modern data ecosystems preferred
• Experience implementing CI/CD pipelines, automated testing, observability, and operational monitoring for integration services preferred
• Experience supporting AI, automation, machine learning, intelligent workflows, and enterprise platform integrations preferred
• Experience working within HIPAA, HITRUST, SOC 2, NIST, or similar regulated environments preferred