Senior Data Engineer (HealthTech)
Full-time
Digis Corp
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.
Vacancy posted 1 day ago
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