Senior Data Engineer

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Our Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We 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, SignalFire, 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 Us Our 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. Job Title: Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and scale the data architecture that powers critical product and operational systems. You'll work closely with engineers, data scientists or operations teams to ensure data is reliable, accessible, and actionable across the organization. If you enjoy high ownership, solving complex problems, and having a large impact on the data strategy of a company, this role is for you. What You'll Achieve: A Glimpse into Your Contributions Design, build, and manage robust data pipelines that ingest, process, and integrate data from multiple sources. Develop clean, well-structured data models that support business operations, executive reporting, and advanced analytics. Improve data architecture and storage solutions to enhance performance, reduce costs, and optimize batch and real-time workflows. Ensure data accuracy, quality, and compliance through governance, observability, and monitoring best practices. Work across technical and non-technical stakeholders to translate business problems into scalable, actionable data solutions. Own the ongoing reliability and evolution of production data products, driving projects from concept to execution. Operate with initiative and autonomy in a fast-paced, mission-driven environment. What You'll Bring: 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: 4+ years of experience in data engineering, analytical engineering, or data architecture. Strong SQL and Python skills, with experience building complex, high-performance queries. Deep experience with modern data stack tools, including data integration tools (e.g., Fivetran, Airbyte), transformation frameworks (e.g., dbt), and modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets. Strong understanding of data modeling, governance, privacy, and observability best practices. Excellent problem solving, communication and analytical skills, with the ability to translate technical concepts for non-technical audiences. Preferred : Experience leading full-stack data architecture and making strategic data platform decisions. Preferred : Experience with data platform migrations. Preferred : Familiarity with healthcare or other regulated data (HIPAA compliance).

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