Data Engineer, Snowflake

Qualified Health is a fast-growing company focused on transforming the healthcare industry through data modernization. As a Senior Forward Deployed Engineer on the Data Modernization team, you will lead the technical aspects of integrating health system data into modern AI-ready lakehouses, working closely with client teams to ensure successful project outcomes.

Responsibilities:

• Work forward-deployed inside the customer's environment: partner directly with their data and IT teams, present design decisions and progress to their technical leadership, and represent QH on-site during kickoffs and key milestones
• Own platform-specific architecture and build for your stack during active engagements, as technical lead under the Principal Solutions Architect
• 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 time lines
• Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform (Delta Sharing, Fabric External Sharing, Snowflake Reader Accounts, or equivalent)
• Sustain production environments handed off from prior engagements, and develop reusable accelerators and IP that compress the next build
• Support pre-sales technical discovery and source-data assessment alongside the Principal SA
• Ensure every environment meets handoff criteria for the Client Integration team — governed, documented, reproducible
• 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 — you can own a build, not just contribute to one
• Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)
• Platform-Specific Depth (own one)
• Production Databricks experience inside a health system or Databricks partner consultancy
• Epic Clarity inside Snowflake
• Prior Azure Synapse / ADF / Databricks-on-Azure background
• Resident / customer-success solutions architect or engineer from a cloud data platform vendor (Databricks, Snowflake, Microsoft FastTrack/ CSU)
• Senior data engineer from a health system running on your platform, or from a platform-partner consultancy
• Familiarity with EHR data models and the realities of on-prem-to-cloud CDC
• Background in consulting, professional services, or data platform implementation in regulated industries (healthcare strongly preferred; fintech a strong adjacent)