Senior Forward Deployed Data Engineer, Data Modernization

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Qualified Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $30M Seed on 2025-02

Healthcare • Artificial Intelligence • SaaS

Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.

📋 Description

• Work forward-deployed inside the customer's environment • Own platform-specific architecture and build for your stack during active engagements • Design and implement ingestion from EHR and source systems (Epic Clarity / Caboodle, FHIR, ERP, scheduling, claims) into a medallion lakehouse • Build and harden change-data-capture, transformation, and orchestration pipelines that meet engagement timelines • Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform • Sustain production environments handed off from prior engagements • Support pre-sales technical discovery and source-data assessment • Ensure every environment meets handoff criteria for the Client Integration team • Cross-train on the other two platforms to keep the team flexible across single- and multi-engagement states

🎯 Requirements

• 8+ years in data engineering or data platform roles, at a Senior or Staff IC level • Client-facing maturity — comfortable working on-site in a customer's environment and presenting technical work to their data and IT leadership • Deep, hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric • Has shipped production data workloads in a regulated environment (HIPAA, HITRUST, or comparable) • Strong in Python and distributed data processing (PySpark or equivalent), plus SQL and modern transformation tooling • Comfortable as the sole platform expert on an engagement • Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)

🏖️ Benefits

• competitive salaries with equity packages • robust medical/dental/vision insurance • flexible working hours • hybrid work options • inclusive environment that fosters creativity and innovation