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 DevOps 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. Requirements 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 #J-18808-Ljbffr