Senior Data Integration & Backend Engineer

Job Description

Responsibilities

end Architecture & Platform Services

• Design and implement secure, scalable public and internal APIs (FastAPI + async patterns)
• Build identity-aware, role-based services supporting clinicians, administrators, and integrations
• Ensure high reliability and low-latency request handling with proper caching, pagination, and rate limits

• Apply distributed systems patterns: retries, idempotency keys, circuit breakers, pressure • Contribute to domain modeling (DDD principles) for provider identity, specialties, compliance state

• Define SLOs, operational runbooks, and automate recovery where possible

Data Ingestion, Structuring & Quality Governance

• Engineer API-first ingestion, migration and synchronization pipelines (scraping only when legally permitted)
• Normalize structured & semi-structured healthcare data (qualifications, medical specialties, licensing authorities)
• Maintain deduplication, delta-detection and source-of-truth governance
• Define and track KPIs for freshness, accuracy, coverage, cost-per-item

Search, Semantic Intelligence & Matching

• Build and optimize Azure OpenAI + pgvector similarity and reputation ranking models
• Extend taxonomy- and embeddings-aware search for better clinician-patient matching
• Develop metadata inference to improve discoverability and quality

Secure Healthcare Integrations

• Partner with health insurers, job authorities, and telemedicine systems using standards-driven, consent-aware integration patterns
• Apply GDPR principles, auditability, encryption & secret management by default

Event & Batch Processing + Observability

• Event-driven automation: Azure Functions / Container Apps / AKS jobs
• Full Observability using OpenTelemetry (traces, metrics, logs)
• DLQ handling, replay, and resiliency testing

Cross-Functional Product Enablement

• Collaborate with Product, Platform, Data Science & Compliance stakeholders

• Enable exports, access control, onboarding flows and clinical validation processes

Desired Candidate Profile

5+ years end + Data Engineering experience in production systems (regulatory environments advantageous)

• Python (FastAPI, pydantic, async stack, httpx/requests)
• TypeScript for integration services, SDKs, and admin automation
• Azure production experience:
• Functions, Container Apps, AKS workloads
• Azure PostgreSQL / SQL, Blob Storage, Key Vault
• Monitor / Log Analytics
• PostgreSQL excellence incl. pgvector indexing & performance tuning
• ETL/ELT engineering, test automation (pytest), CI/CD, Observability
• Strong understanding of data privacy, GDPR, and secure data flows

Additional Skills

• Go for high-throughput microservices
• NLP / Document processing:
• spaCy, Transformers, pdfminer, textract
• Healthcare interoperability: FHIR / HL7
• Developer Experience:
• GitHub Actions, Azure DevOps, Docker
• monorepo workflows (pnpm/Turborepo)
• Operational ownership: “You build it, you run it.”

How We Work

• API-First, Clean Architecture, Security-by-Design
• Pairing & mandatory code reviews
• Remote-friendly with flexible hybrid options and defined core hours

• Mission-first culture prioritizing data integrity, patient safety & social impact