Location:
Remote from Spain (an indefinite Spanish employment contract) Lead Backend Engineer
- Healthcare Data Interoperability to join a large-scale digital healthcare initiative focused on connecting fragmented health data and enabling secure, real-time interoperability across the U.
S. healthcare ecosystem. combining deep healthcare interoperability expertise, backend and data engineering, architecture, and team leadership. You will lead engineers responsible for building and operating real-time interoperability infrastructure connecting EHR/EMR systems, healthcare networks, providers, payers, digital health platforms, and other clinical data sources. S. healthcare interoperability , Project Overview: The project is building a FHIR-based healthcare data platform that integrates clinical and consumer health information from thousands of healthcare data sources and creates a unified longitudinal health record. The interoperability platform processes high-volume, real-time healthcare data and connects with EHR/EMR systems, HIE/HIN networks, healthcare providers, insurance organizations, pharmacies, wearables, IoT devices, and remote patient monitoring solutions. FHIR R4, HL7, REST APIs, Python, Spark, Kubernetes, Kafka and other messaging technologies, SQL/NoSQL databases, and cloud infrastructure . S. healthcare interoperability standards and regulations, including US Core, USCDI, SMART on FHIR, CMS interoperability requirements, and national healthcare exchange networks . AI-enabled engineering and healthcare capabilities , including practical use of LLMs and modern AI technologies where they can improve data processing, engineering productivity, and platform intelligence. 8+ years of hands-on software engineering experience , preferably within healthcare interoperability,



health data platforms, or HealthTech. leading backend, data engineering, or healthcare interoperability teams. large-scale, real-time healthcare data exchange solutions . S. healthcare interoperability ecosystem. and working with heterogeneous clinical data sources. or comparable FHIR-based healthcare APIs. OAuth 2.0, OpenID Connect, scopes, and healthcare API authorization patterns. including ADT, ORM, ORU or similar healthcare messaging workflows. Experience with modern backend frameworks such as Django/FastAPI/Flask, Spring Boot, Node.js, or .
NET Core . REST APIs and data integration services . Kafka, RabbitMQ, AWS SQS, Azure Service Bus , SQL and NoSQL databases , such as PostgreSQL, MySQL, MongoDB, or DynamoDB. Experience designing and operating cloud-native systems using Kubernetes and modern cloud infrastructure. Strong understanding of healthcare data formats including FHIR JSON/XML, HL7, JSON, XML, and CSV . Professional English sufficient for direct collaboration with U.
Epic, Oracle Health/Cerner, athenahealth, or similar systems . S. national healthcare exchange networks such as S. healthcare interoperability regulations. Experience processing healthcare data at significant scale
- hundreds of thousands or millions of patient records. Apache Spark, Databricks, Prefect , or comparable data-processing/orchestration technologies.



Experience with AWS or Azure cloud-native data and integration services. PHI and other regulated healthcare data , to data engineering, interoperability, or software development workflows. Claude Code, GitHub Copilot, Cursor , large-scale healthcare interoperability solutions . Lead and mentor a team of backend/data engineers responsible for healthcare data pipelines and interoperability infrastructure. including Patient Access, Bulk FHIR, and other healthcare interoperability interfaces. Design scalable real-time data pipelines for ingesting, transforming, validating, and exchanging clinical and healthcare data. EHR/EMR systems, HIE/HIN networks, healthcare providers, payers, pharmacies, digital health platforms, wearables, and other healthcare data sources . Design and maintain secure healthcare APIs using modern authentication, authorization, encryption, and API security patterns. Ensure scalability, reliability, observability, security, and regulatory compliance of healthcare data infrastructure. Collaborate closely with product, clinical, engineering, security, data, and business stakeholders to translate interoperability requirements into scalable technical solutions. where they improve development velocity, data transformation, testing, documentation, troubleshooting, or interoperability workflows. This role offers an opportunity to lead one of the most technically and strategically important areas of a modern digital healthcare platform: health data interoperability at scale . You will work on systems that connect thousands of healthcare data sources and enable clinical information to move securely across a highly fragmented U.
S. healthcare ecosystem, directly influen

📌 Lead Backend Engineer (España)
🏢 Intellias
📍 España