Software Engineer [Data Platform]
London
Phare Health
About Us
Our mission is to make healthcare reimbursement fair and transparent, so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!
The Role
As a key contributor to our fast-moving engineering team, you’ll build high-performance systems that handle massive data flows and power AI-driven healthcare products. You’ll work with hospital IT teams on seamless EHR integrations, optimize end-to-end latency, and ensure everything runs at scale with rock-solid security. You’ll be part of the core team driving our next wave of growth.
Key Responsibilities
EHR Integrations: Build and refine interfaces with EHR platforms (FHIR, HL7, etc.), collaborating closely with hospital IT teams to ensure smooth data exchange.
High-Throughput Data Pipelines: Design, implement, and maintain robust, scalable ETL pipelines (Python, Airflow or similar) that can handle complex healthcare data with ultra-low latency.
Infrastructure & Deployment: Use AWS (or similar) and Infrastructure-as-Code (Terraform, Docker) to deploy ML-powered solutions securely and efficiently.
Security & Compliance: Architect HIPAA-compliant solutions, focusing on encryption, role-based access, and secure coding at scale.
Leadership & Mentorship: Lead technical design sessions, champion best practices, and coach junior engineers to help them reach their full potential.
About You
Technical Expertise
5+ years of professional experience in full-stack development (or equivalent) with fluency in Python and/or Go
Experience with AWS or other cloud platforms and Infrastructure as Code frameworks (Terraform, Docker)
Big bonus: Experience with EHR integrations including HL7/FHIR standards
Startup Mindset
Thrive in fast-paced, ambiguous environments—always iterating and improving.
Ready to own projects end-to-end and drive real impact from day one.
Benefits
Competitive compensation: Top-of-market salary plus equity.
Flexible PTO: Generous vacation policy and remote-friendly culture.
Team culture: Regular team-building events, a collaborative atmosphere, and mission-driven work.
Hiring Process
Initial application.
Intro call: Discuss your background, career goals, and our mission.
2 x technical interviews: A programming or system design exercise focused on real-world data challenges.
Referees: We ask for 2 referees who can speak to your professional/technical work
Culture interview: Ways of working, and a chance to ask questions
Offer
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Data pipelines Docker Engineering ETL HL7 Machine Learning Pipelines Python R R&D Security Terraform
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Salary bonus Startup environment Team events
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