Qualified HealthRemote
Senior Forward Deployed Data Engineer, Data Modernizaton
United States of America
Full Time
4 hours ago
$180,000 - $230,000 USD
H1B Sponsor Likely
Key skills
DatabricksSnowflakeMicrosoft FabricPythonPySparkSQLTerraformGitHub ActionsDelta LakeUnity CatalogDelta SharingDelta Live TablesPhotonSnowparkReader AccountsStreams & TasksDynamic TablesSnowpipedbtOneLakeSQL Server MirroringFabric Data FactoryFabric External SharingIcebergFHIREpic ClarityCaboodleHIPAAHITRUSTAzureAWSClient-facing maturityAIGenerative AIData EngineeringGitHubERPCI/CDLeadershipSales
About this role
Qualified Health is redefining what's possible with Generative AI in healthcare, and they are seeking a Senior Forward Deployed Data Engineer to join their Data Modernization team. The role involves working directly with health system customers to modernize their data infrastructure, ensuring a smooth transition to AI-ready environments.
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 timelines
- 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)
- Bonus: production Databricks experience inside a health system or Databricks partner consultancy
- Bonus: Epic Clarity inside Snowflake
- Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background