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About the role
H1 seeks a Staff Software Engineer to build and operate large-scale health-plan data pipelines and services for directory accuracy. The role focuses on PySpark, Scala, Python, SQL, entity matching, master data management, APIs, cloud infrastructure, data quality, and customer-facing products. It is hybrid in New York, requires 8+ years of software engineering experience, and includes a stated annual salary of $185,000–$230,000 plus RSUs.
Key requirements
• At least 8 years of relevant experience
• Required skills: Software engineering, Data engineering, Production big data pipelines, ETL/ELT, Orchestration, Scheduling, Monitoring, PySpark, Scala, Python, SQL, Distributed data processing, Spark performance tuning, APIs or backend services, Cloud infrastructure, Entity resolution, Record matching, Master data management, Data quality, Scoring or validation frameworks, Enterprise client data onboarding, Product engineering
Opportunity details
• Workplace: Hybrid
• Posted: Oct 19, 2026
• Deadline: Nov 25, 2026
• Original advert language: English
Full vacancy
HealthRoleIQ regularly verifies this opportunity against the employer’s posting and highlights the details relevant to your match.
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.
WHAT YOU'LL DO AT H1
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:
Design, build and operate large-scale data pipelines for ingesting, transforming, matching and syncing client data, using PySpark, Scala and SQL
Build and improve the entity matching service that resolves client records against H1's core data layer, including its underlying schema
Develop data asset management features such as scoring, status assignment and configurable intake
Build the APIs and backend services that power customer-facing UIs and internal tools, making pipeline outputs easy to explore, act on and trust
Contribute to customer-facing and internal applications that help bring new products to market
Build self-service internal tools that let operations, customer success and other non-technical teams work with data without engineering help
Work directly with messy enterprise client data, debugging issues end to end and making ingestion more reliable and repeatable
Integrate clinical and provider data as new products and customers come onto the platform
Work with product and design partners to shape features from customer problem through shipped product
Improve pipeline performance, reliability, observability, testing and documentation
Contribute to architecture decisions and design and code reviews
Collaborate with adjacent teams that own feed delivery, access infrastructure, public-facing APIs and roster processing
ABOUT YOU
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.
REQUIREMENTS
- 8+ years of software engineering experience with a strong focus on data engineering and building data-driven products
Deep experience designing, building and running production big data pipelines at scale (ETL/ELT, orchestration, scheduling, monitoring)
Strong proficiency in PySpark, Scala, Python and SQL
Solid experience with distributed data processing and performance tuning in Spark
Experience building APIs or backend services that support customer-facing applications
Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure)
Hands-on experience with entity resolution, record matching or master data management
Experience with data quality, scoring or validation frameworks
Comfort working directly with client data, including messy source files, and onboarding enterprise customers
Product-engineering mindset: you care about how customers use what you build
Preferred: full-stack experience, or experience building web UIs with a modern framework (e.g., React)
Preferred: experience building products that turn complex data into customer-facing features
Preferred: experience building internal self-service tools
Preferred: experience with healthcare data such as provider or HCP directories, rosters, credentialing, clinical trial or site feasibility data
Preferred: experience with CTMS or other clinical systems data
COMPENSATION
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 OFFERS
Full suite of health insurance options, in addition to generous paid time off
Pre-planned company-wide wellness holidays
Retirement options
Health & charitable donation stipends
Impactful Business Resource Groups
The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.