At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this, our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.com to learn more about us.
As part of H1’s hiring process, all candidates are required to participate in an in-person final interview. Depending on your location, this may require travel.
The Health Plans Software Engineering group builds the products that help health plans keep provider data accurate. It is made up of two product teams, one focused on roster automation and one focused on directory accuracy. Directory Accuracy owns the master data management and client data integration side of that work: the data platform that ingests, matches and standardizes client data to support provider directory accuracy, site feasibility, and healthcare professional credentialing. The core loop is: client entity intake, unique ID assignment, entity matching against H1's core data layer, then sync back into client feeds and pipelines.
As a Staff Software Engineer on the Health Plans team, you'll design, build, and run the big data pipelines and services behind products our health plan and life sciences customers rely on every day. We're expanding beyond pipelines into customer-facing applications and internal tools, so the data we build becomes products customers can see and use. This is a hands-on engineering role: most of your time goes to writing code in PySpark, Scala and SQL, solving hard data problems at scale, and shipping features that customers and internal teams use directly. You'll join an established team of a Staff engineer, a Senior engineer and two contractors, and report to the Director of Software Engineering, Health Plans.
You will:
You're a senior big data engineer who loves building products, not just pipelines. You care about how data reaches the people who use it, whether that's a customer in our app or a teammate using an internal tool. You're happiest deep in the code, tuning Spark jobs, untangling messy source data and shipping features customers notice. You take ownership of systems end to end and know how to make an existing codebase better. You do well in fast-moving environments and communicate clearly with engineers, product partners and non-technical stakeholders.
This role pays $185,000 to $230,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units (RSU).
Anticipated role close date: 11/25/2026
H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
At H1, our mission is nothing short of creating a healthier future worldwide by unlocking and democratizing global access to critical expertise, HCP information, claims data, ground-breaking research and discoveries, and connected insights for all – doctors, researchers, industry and, ultimately, patients – bringing everyone closer together to advance medicine and clinical outcomes. Insights derived from H1’s solutions help life sciences and other healthcare organizations accelerate the development, launch, and dissemination of life-saving treatments, drive meaningful engagements with key opinion leaders, and help ensure equitable access to healthcare services.
