Senior Backend Engineer II - Data

Role overview Build and operate backend services and data pipelines that make clinical information dependable and usable across healthcare products, reporting, and AI-supported workflows. This is a software engineering role centered on Python services, APIs, clinical data architecture, and production operations. You will also provide technical direction and work with clinical, product, and engineering partners.

Responsibilities - Develop and maintain Python backend services and REST APIs for a clinical data platform. - Design scalable clinical data models using interoperability standards such as FHIR and HL7, with clear ownership across data domains. - Build batch and event-driven pipelines to ingest, transform, validate, and deliver data to operational and analytical systems. - Add automated testing, reconciliation, validation, and monitoring to catch incomplete, duplicated, or incorrectly mapped data. - Create maintainable transformation layers and curated datasets for product features, reporting, analytics, and AI use cases. - Establish data documentation, lineage, provenance, versioning, retention, and audit practices; lead design reviews and mentor engineers.

Requirements - Six to eight years of software engineering experience, including production service and database ownership. - Strong experience developing production Python applications and APIs, using frameworks such as FastAPI, Django, or Flask. - Experience designing and operating scalable data ingestion, transformation, and delivery pipelines using batch, streaming, or event-driven patterns. - Hands-on work with clinical or healthcare data and solid understanding of FHIR, HL7, terminology, and interoperability challenges. - Knowledge of normalized, dimensional, and domain-oriented data modeling and how design affects quality, usability, and performance. - Ability to lead complex technical work independently and balance delivery with long-term maintainability.

Nice to have - Experience with FHIR servers, clinical repositories, electronic health records, or imaging and reporting workflows. - Familiarity with SNOMED CT, LOINC, ICD-10, or DICOM. - Work with cloud infrastructure, clinical reporting, or AI-enabled healthcare products.

Benefits and work setup - Applicants must be authorized to work in the United States; visa sponsorship is unavailable. - The listed base salary is $165,000–$180,000 in local currency, depending on experience and location. - Benefits described include health, dental, vision, and mental health coverage; flexible vacation; a retirement savings plan without employer matching; and a complimentary whole-body scan for employees. - The listing also mentions growth opportunities and regular team gatherings.