Integration & Data Engineer

At Delphi Consulting Pvt. Ltd., we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization, delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role: The Integration and Data Engineer acts as the bridge between the hospital's core systems and its AI-driven future. You will design and manage the data pipelines that fuel our AI models. This involves using Rhapsody and BizTalk to feed real-time clinical events into AI inference engines, and leveraging Microsoft Fabric to curate high-quality training datasets from Epic Clarity. You will work side-by-side with AI Engineers to develop, deploy, and monitor predictive models and GenAI applications.

What you'll do:

1. AI & Machine Learning Data Support

• Partner with AI Engineers to perform feature engineering, identifying, extracting, and transforming clinical and non-clinical data from Epic and downstream systems for ML readiness.
• Support implementation and maintenance of Vector Databases in Microsoft Fabric to enable Retrieval-Augmented Generation (RAG) for clinical and enterprise LLM use cases.
• Configure Rhapsody / BizTalk to trigger real-time AI model scoring based on HL7 events.
• Design data pipelines to capture AI model outputs and integrate them into clinical workflows and monitoring dashboards for performance tracking and governance.

2. Advanced Integration & Interoperability

• Build and maintain high-velocity, real-time interfaces using Rhapsody and BizTalk to support AI monitoring and telemetry-driven use cases.
• Map and normalize legacy and heterogeneous data formats into standardized, AI-ready schemas to ensure data quality, consistency, and interoperability.

3. Data Engineering & Microsoft Fabric Ecosystem

• Design and optimize Microsoft Fabric Lakehouse architectures tailored for AI training, experimentation, and historical analysis.
• Perform advanced Epic Clarity data extraction to create longitudinal patient datasets for retrospective AI model validation.
• Automate end-to-end pipelines using Fabric Data Factory to refresh AI training datasets and mitigate data drift.

What you'll bring:

5+ years in Integration/Data Engineering, with at least 1-2 years supporting Data Science or AI workstreams.