We're helping a US digital-health platform make patients' medical data accessible, consistent, and trustworthy. The platform brings together data from many clinical and administrative sources: lab results, diagnoses, medications, visits, claims and more. It standardizes this data into FHIR and exposes it through secure, standards-based APIs used by internal products and external partners.
The engineering scope covers healthcare data pipelines, interoperability services, and the core FHIR platform. It is built on Python and/or Node.js/TypeScript, event-driven architecture (Kafka), cloud-native infrastructure, and AI-assisted engineering practices.

Requirements:
8+ years of professional software engineering experience (backend, data, or platform engineering), including 2+ years in a Tech Lead / Engineering Lead roleProven experience in the Healthcare / HealthTech / Digital Health domainHands-on experience building systems that handle PHI under HIPAA requirements, including PHI-safe engineering practices, access control, and audit loggingHands-on experience with FHIR R4 and healthcare interoperability standards (US Core, USCDI, HL7)Strong hands-on expertise in Python and/or Node.js/TypeScript in production environmentsExperience designing and operating distributed, high-scale systems: APIs, data pipelines, event-driven architecture (Kafka or equivalent)Strong understanding of system reliability: idempotency, error handling, retries, data quality, and observabilityExperience with API security: OAuth 2.0 / OIDC, JWTSolid SQL and NoSQL skills, data modeling, and schema evolutionExperience with cloud-native environments (AWS / Azure), Docker, Kubernetes, CI/CD,



and automated testingProven ability to set technical direction and drive architecture decisions across components and teamsExperience leading and mentoring engineers through design reviews, code reviews, pairing, and knowledge sharingPractical experience using AI coding agents (Claude Code or similar) as part of the development lifecycle, and sound judgment on when AI fits and when deterministic solutions are safer, especially where PHI is involvedProfessional English (B2+) for direct collaboration with US-based technical and business stakeholdersExperience with data orchestration tools such as Prefect or Airflow.
Hands-on experience with DatabriksResponsibilities:Experience building or operating a FHIR server (R4/R4B), Bulk FHIR, SMART on FHIR, Patient Access APIsKnowledge of HL7 v2, C-CDA, and C-CDA-to-FHIR transformationFamiliarity with healthcare terminologies: SNOMED CT, LOINC, RxNorm, ICD-10, CPTExperience with Databricks / Spark / Delta Lake or other lakehouse platformsExperience with Master Patient Index (MPI), patient matching, or record linkageExperience with payer data exchange (CARIN Blue Button, Da Vinci) or integrating EHR/EMR, HIE, pharmacy, or lab systemsKnowledge of US healthcare regulations: 21st Century Cures Act, ONC certification, CMS Interoperability RuleExperience with consent management, resource-level access control, and tenant isolationExperience building LLM-based capabilities for clinical data processing or data qualityContributions to open-source healthcare or FHIR/HL7 communitiesContributions to the design and scaling of event-driven and real-time data pipelines using tools like Kafka, Spark, and DuckDB.

📌 Engeneering Lead with Healthcare experience (España)
🏢 Intellias
📍 España