Senior Data Engineer (HealthTech)

Digis is a European company of 200 employees. The company was founded 9 years ago and has managed to grow from a startup into a reliable partner for our clients. We took the best from the product and outsourcing company. You collaborate directly with the client's team, make business trips.... Digis seeks a Senior Data Engineer with deep expertise inbuilding data pipelines and integrating healthcare data. You will report directly tothe Head ofAI and Engineering and work inahigh-autonomy environment with fast iteration cycles. This isa long-term, full-time and remote position. About the Project: Acutting-edge, mission-driven HealthTech startup based inthe USA , specializing inAI-powered clinical support. Aplatform that helps dermatologists make faster and more accurate diagnostic decisions byintegrating patient data and medical images directly from Electronic Health Record (EHR) systems. This isapre-seed stage company founded in2023, with anMVP built, live pilots running with early clinical customers, and now growing into afull-scale product rollout and advanced ML/AI-powered services. This isanopportunity tobeanearly engineering hire and have amassive impact onaproduct that directly improves patient outcomes. Methodology: High independence, fast iteration, with weekly check-ins (nostrict Agile framework). Schedule: Apreferred overlap of 3–4 hours with Pacific Time (California) , typically until 20:00 Kyiv time. Project Highlights: High Impact: Beanearly engineering hire inahigh-impact health AIstartup. Cutting-Edge: Your work onreal-time pipelines will power real-world clinical diagnostics. Collaboration: Work directly with technical founders and domain experts (Co-founder/Head ofAI and Engineering, Co-founder/Domain Expert). Mission: Drive amission-driven product that directly improves patient care and outcomes. What you’ll do: Design and run data pipelines for clinical event ingestion Build real-time integrations with Epic via FHIR/HL7APIs Connect pipelines todownstreamML inference modules Ensure proper error handling, observability, and updates Help support diagnostic workflows with structured medical data Requirements: Senior-level experience asaData Engineer (5+years) Proficiency with SQL/relational databases (4+years) Experience inthe Healthcare domain English proficiency sufficient for technical discussions/interviews. Familiarity with Cloud environments and data privacy (HIPAA) isaplus. #J-18808-Ljbffr