Senior Backend Engineer II - Data

Remote: yes Posted: 2026-09-30

- Build and Evolve the Medical Data Server: Collaborate with engineers across the Clinical Data team to design, build, and operate the Python backend services and RESTful APIs responsible for managing clinical data.

- Clinical Data Architecture: Partner closely with the Architecture team and other engineering stakeholders to design and evolve scalable clinical data models using healthcare interoperability standards such as FHIR and HL7. Help establish clear boundaries, ownership, and contracts across clinical data domains.

- Data Pipeline Development: Build and maintain reliable batch and event-driven pipelines that ingest, transform, validate, and deliver clinical data across operational systems, data platforms, reporting tools, and downstream applications.

- Data Quality and Reliability: Establish automated validation, testing, reconciliation, and monitoring to identify incomplete, inconsistent, duplicated, or incorrectly mapped clinical data before it affects users or downstream systems.

- Data Modeling and Transformation: Develop maintainable transformation layers and curated datasets that support clinical reporting, operational analytics, product functionality, and AI use cases.

- Data Governance and Lineage: Implement practices for data documentation, lineage, provenance, versioning, retention, and auditability. Help ensure clinical data remains trustworthy and explainable throughout its lifecycle.

- Cross-Functional Collaboration: Work closely with clinical, product, application engineering, architecture, data analytics, and AI teams to translate clinical workflows and business needs into durable technical solutions.

- Technical Leadership: Lead design discussions, contribute to architectural decisions, review technical implementations, mentor engineers, and help establish engineering standards for clinical data development.

- Backend Engineering Experience: 6–8 years of software engineering experience, including ownership of production services and databasesPython Expertise: Strong experience building production Python applications and APIs using frameworks such as FastAPI, Django, or Flask.