Senior Forward Deployed Data Engineer, Data Modernizaton

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.

This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams

Hiring Company: Qualified Health

One-liner: Qualified Health is building the healthcare-native enterprise AI platform that helps leading health systems deploy AI safely, at scale, and with measurable clinical and financial impact.

Salary: $180K/yr - $230K/yr

Why Join Us:

• • AI-native healthcare enterprise platform helping health systems safely capture the trillion-dollar healthcare AI opportunity across clinical, operational, and financial workflows
• • Raised $125M Series B led by NEA, now supporting 400,000+ users across leading U.S. health systems with 10x revenue growth in the past year
• • Founding team brings experience from Stanford Medicine, Waymo, Haven, Evolent Health, Elevance Health, UCSF, IHI, and Weill Cornell Medicine
• • Join a small, exceptionally high-performing team where every role directly shapes how leading health systems adopt AI safely, responsibly, and at scale

Role 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

Qualifications

Required

• • 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 (see platform note above)
• • 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) Databricks: Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables, Photon. Bonus: production Databricks experience inside a health system or Databricks partner consultancy
• • Platform-Specific Depth (own one) Snowflake: Snowpark, Reader Accounts, Streams & Tasks, Dynamic Tables, Snowpipe, strong dbt fluency. Bonus: Epic Clarity inside Snowflake
• • Platform-Specific Depth (own one) Microsoft Fabric: OneLake, SQL Server Mirroring for CDC, Fabric Data Factory, Fabric External Sharing, Iceberg shortcuts. Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background. (The rarest and most sought-after of the three — Fabric is the newest platform.)

Preferred

• • 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)
• • Ownership: You're the one person on the engagement who deeply knows this platform, and you carry that weight without needing a second set of hands on every decision
• • Pragmatism: You know the difference between architecturally ideal and deliverable-in-ten-weeks, and you optimize for the latter without creating technical debt
• • Reusability mindset: You build the second engagement's accelerator while delivering the first, because you've felt the cost of bespoke-everything
• • Clinical-data literacy: Clarity and Caboodle don't scare you; you understand why health system data is messy and you've untangled it before
• • Cross-platform curiosity: Your depth is in one stack, but you're glad to learn the other two so the team can flex across engagements

How can I join Jobright TNT:

If this is your first time applying to a Jobright TNT role, the process works as follows:

• 1. Apply to your first Jobright TNT role
• 2. We review your background to determine if you meet the TNT quality bar
• 3. If qualified, your application is directly recommended to the employer
• 4. Once accepted into TNT, you may be:
• - Invited to apply for other exclusive TNT-only roles
• - Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

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