At Sword, data powers our mission to build a pain-free world. The Data Platform Team is building the foundation that makes data usable across clinical, operations, AI, and product teams: a modern streaming lakehouse, distributed processing for low-latency data movement, durable workflows coordinating complex operations, and an API-first surface that lets producers and consumers serve themselves - without tickets, without infra context, and increasingly through agentic interfaces.
This role is for an engineer who thinks about data platforms as products. You’ve built or operated data systems at scale, you reason fluently from storage format up to query engine, and you want to shape the self-service and agentic experiences layered on top of that foundation.
To get to know more about our Tech Stack, check here.
AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
Explorer (Level 1) — Uses AI daily to boost personal productivity
Builder (Level 2) — Creates workflows and tools that elevate the whole team
Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
Design and evolve Sword’s streaming lakehouse - the foundation that every data consumer in the company depends on.
Build and operate distributed streaming pipelines that move data at low latency and high reliability.
Own the durable workflows that coordinate complex data movement across systems.
Shape the platform’s API surface - the interface producers and consumers use so they never need to touch infrastructure.
Drive evaluations and integrations with vendor data platforms, sitting inside the architectural trade-offs rather than just consuming the output.
Contribute to the self-service and agentic layer: interfaces designed to be consumed by humans, systems, and AI agents alike.
Partner with data engineers and analysts on contracts, governance, and lineage.
Build and maintain AI-ready data infrastructure that powers ML and AI-driven products across Sword.
Leverage AI coding assistants and LLMs to accelerate development, automate documentation, and raise code quality.
Work in a regulated environment where audit, compliance, and governance are part of every design.
Discover exciting opportunities in biotechnology. Join innovative companies that are advancing healthcare and life sciences through cutting-edge research and development.
Salary: $95,000 - $145,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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