Forward Deployed Data Engineer

Comp: $170k-270k base (DOE), generous equity and benefitsFully remote based in USNOT open to Visa holders at this pointWe're looking for a Forward Deployed Engineer (3–8 years) to own end-to-end healthcare customer engagements at a fast-growing, VC-backed AI training data platform. You'll be the technical engine behind live deals — turning ambiguous, high-stakes healthcare data problems into delivered outcomes on tight timelines.What you'll doOwn customer engagements from scoping through delivery — translating vague requirements (e.g. 5M patient records spanning radiology, claims, genomics) into working data pipelines under pressureBuild custom data engineering solutions to handle massive volumes of structured and unstructured healthcare data (imaging, EHR, claims) at scaleGo on-site with customers and data partners to guide their engineering teams through working with data at scaleIdentify gaps between our platform and customer needs, and build the last-mile solutions that close themSurface repeatable patterns back to product to help turn bespoke implementations into scalable platform capabilitiesWhat we're looking forStrong data engineering background building batch pipelines at massive scale, across structured and unstructured data (this is not a streaming-heavy environment)A track record of high ownership — founding engineer, early-stage startup, or equivalent end-to-end technical accountabilityCustomer-facing experience: comfortable scoping ambiguous problems, communicating tradeoffs, and steering technical stakeholders away from preconceptions on the flyStrong SQL and hands-on ETL experience across diverse data formatsA full-stack generalist mindset with a clear spike in data engineeringWorking understanding of AI/ML training workflowsComfort operating in PHI/HIPAA-compliant environments (healthcare domain expertise is a nice-to-have, not a requirement)Degree in Computer Science, Physics, or a related technical fieldThrives in fast-paced, high-intensity environments — nights and weekends are common when deals are liveTech stack: Python, SQL, batch data pipelines, structured & unstructured data, healthcare data (HL7/FHIR), PHI/HIPAA-compliant systems, cloud infrastructure (AWS/GCP/Azure), REST APIs, data integrationsThis role is built for someone who wants deep ownership across many problems, not a single long-term product. If you're looking for strict 9-to-5 hours or steady-state work, this won't be the right fit — but if you thrive on ambiguity and want to be the person who makes impossible deadlines work, we'd love to talk.