Staff Data Engineer, H1
$170-190k
+ Stock Options
Platform connecting healthcare professionals
Open for applications
Platform connecting healthcare professionals
501-1000 employees
Open for applications
$170-190k
+ Stock Options
501-1000 employees
Company mission
To create a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem and encourages purposeful relationships.
Role
Who you are
- You’re a hands-on Staff IC and technical leader who thrives in complex data environments.
- You bring clarity to ambiguity, turn messy problems into reliable systems, and operate with a strong sense of ownership and impact.
- You collaborate effectively across functions, help others move faster, and are comfortable working across the full data and infrastructure stack
- You have a proven track record of leading large, complex technical projects from concept to production
- You bring deep experience building and evolving large-scale data architectures, pipelines, or distributed systems
- You operate well in high-ambiguity environments, make pragmatic trade-offs, and keep execution moving
- You communicate clearly with both technical and non-technical partners and influence direction without needing formal authority
- You raise the bar for engineering excellence through thoughtful design, high-quality code, and strong documentation
- You invest in others through mentorship, pairing, and constructive feedback
- 8+ years as a software, data, or backend engineer building and operating scalable, production-grade systems
- Experience with large-scale data processing (e.g., Spark/PySpark on EMR or similar) or scalable distributed backend systems, with the ability to quickly deepen expertise in our data stack (PySpark, EMR, Hudi/Delta)
- Strong proficiency in SQL, including writing and optimizing complex queries over large datasets
- Strong programming experience in Python (or a modern language with the ability to quickly ramp up in Python)
- Experience designing systems or large-scale datasets/pipelines with attention to performance, reliability, and maintainability
- Hands-on experience with modern engineering workflows and tooling such as Git, JIRA, and CI/CD systems (e.g., CircleCI)
- Comfort deploying and troubleshooting distributed workloads in cloud environments such as AWS EMR or Kubernetes
- Experience with workflow orchestration or job scheduling tools (e.g., Airflow, Argo)
- Demonstrated ability to independently drive complex, cross-team technical initiatives and influence stakeholders without formal authority
- Experience with streaming/messaging technologies (e.g., Kafka, Kinesis) nice to have
- Background in RWE, healthcare data, or other complex/regulated data domains is preferred
- Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged
What the job involves
- As a Staff Data Engineer on the Real World Evidence (RWE) team, you’ll be one of the most senior individual contributors and a key technical leader for our largest datasets and pipelines.
- You’ll drive some of H1’s most visible data initiatives and help reduce bottlenecks across teams, providing critical technical leadership support during US hours
- Act as a self-starter who drives execution independently, taking ownership and initiative with minimal need for day-to-day direction
- Lead high-visibility RWE projects, starting with claims data, and keep multiple initiatives moving by proactively unblocking teams
- Own the end-to-end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1’s long-term vision
- Design, build, and optimize large-scale data pipelines (hundreds of TBs) for performance, reliability, and cost efficiency
- Partner with Product, Data Science, and downstream engineering teams to align priorities, manage dependencies, and deliver high-value outcomes
- Represent engineering in cross-functional forums, shaping roadmaps and reducing reliance on senior leadership for day-to-day decisions
- Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products
Application process
- Anticipated role close date: 01/05/2026
Our take
The increasing costs and difficulty of drug discovery requires healthcare organizations and pharmaceutical companies to be able to quickly connect to professionals and thought leaders with specific credentials or research history. H1 addresses these needs by allowing life sciences companies, hospitals and healthcare systems to locate the professionals they need.
H1 is the world’s largest healthcare database. It acts a bit like LinkedIn for healthcare professionals, and has already built a network of more than 9 million users. It has also built a corporate client base of 250 enterprises which is able to access its data which spans more than 250 million patients and over 10 billion health care claims.
The company graduated from Y Combinator's accelerator program in January 2020, and has since raised considerable funding, expanded into Europe and Asia, and built out its data network. It continues to attract investment, most lately from CVS Health Ventures, which showcases the industry regard for its offering.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2026
$40m
LATE VC
Jun 2022
$23m
SERIES C
Total funding: $227.2m
Company benefits
- Flexible work hours
- Commuter benefits
- Stock options
- Computer setup
- Work from home opportunities
- Health & life insurance
- Retirement options
- Unlimited PTO
- Flex Give & Flex Spend
- Impactful BRGs
Company HQ
Flatiron District, New York, NY
Leadership
Ariel Katz
(CEO & Co-Founder)Previously founded acquired online database, ResearchConnection, before co-founding H1.
Ian Sax
(Co-Founder)Ian has been building businesses for over two decades. He began his start up career at The Carson Group, where he built the firm's global people, institution, and shareholder platform.
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