Data Engineer
Listed on 2026-07-24
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Software Development
Data Engineering
Location: New York
Our Mission: Hospital-Quality Care, Everywhere.
The healthcare industry still relies on faxes and phone tags to coordinate critical care for patients think patients and the clinicians who serve them deserve better than a system stuck in 1995.
Verse Medical is building the modern software infrastructure to make it happen. We're a well‑funded Series C company (backed by General Catalyst, Signal Fire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high‑quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us!
Our Values: The Principles That Guide UsOur values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day.
We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress.
We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection.
We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run.
We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real‑world challenges of healthcare.
Staff Data Engineer
We’re hiring a Staff Data Engineer to own the data platform layer s is a high‑impact role where you’ll stand up and scale infrastructure that powers critical product and operational systems. You’ll be the technical authority on everything from source pipelines and warehouse configuration to observability infrastructure and net new integrations. You’ll be closing the gaps, raising the quality bar, and making architectural decisions that shape how the data function operates for years.
If you enjoy high ownership, solving complex problems, and having direct impact on the data strategy of the company, this role is for you.
What You’ll Achieve: A Glimpse into Your ContributionsOwn and improve the Snowflake platform end‑to‑end, including the ongoing evolution of the environment as usage scales.
Own source pipeline reliability and expansion, evaluating existing connections for reliability, freshness SLAs, edge case handling, and schema drift resilience, while building net‑new integrations.
Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices.
Own pipeline incident response with speed and clear communication, identifying root causes that prevent recurrence rather than just restoring service.
Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch workflows as usage and data volume scale.
Operate as the technical authority on data infrastructure decisions, setting standards and guiding architectural choices that hold up as the team and the platform scale.
The Skills and Experience You’ll Leverage
We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply.
Core
Skills & Experience:
8+ years of experience in data engineering, database engineering, or software engineering, with experience owning production data infrastructure end‑to‑end.
Deep Snowflake expertise, including warehouse configuration, RBAC and role hierarchy design, connector management,…
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