The Engineer, Data Integration is responsible for designing, implementing, and supporting enterprise integration solutions that enable secure, scalable, reliable, and governed data exchange across internal applications, cloud platforms, third-party vendors, healthcare partners, analytics platforms, automation services, and artificial intelligence (AI) solutions. Operating within an Azure-first, Databricks-centric environment, the Data Integration Engineer develops and supports API-based integrations, event-driven architectures, healthcare data exchanges, SaaS integrations, cloud-native messaging platforms, and enterprise workflow automation capabilities. This role serves as a key technical contributor in the organization's transition from traditional batch-based and point-to-point integrations toward modern API-first, event-driven, cloud-native integration architectures.
The Engineer, Data Integration collaborates closely with Data Engineers, Data Architects, DevOps Engineers, Cloud Engineers, Software Engineers, Security teams, business stakeholders, and third-party vendors to enable seamless interoperability between operational systems, data platforms, automation platforms, analytics environments, machine learning solutions, robotic process automation (RPA) platforms, and enterprise AI initiatives. This role is responsible for ensuring integrations are secure, scalable, observable, compliant, resilient, and aligned with regulatory requirements including HIPAA, HITRUST, SOC 2, and enterprise cybersecurity standards.
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