Staff Data Engineer, H1
Data Lake
$170-190k
+ Stock Options
Platform connecting healthcare professionals
Be an early applicant
Platform connecting healthcare professionals
501-1000 employees
Be an early applicant
$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 are a highly technical data engineer who thrives in lean, high-ownership environments and enjoys solving complex distributed systems challenges. You are excited by the opportunity to influence technical direction, mentor engineers, and grow into broader engineering leadership responsibilities while remaining hands-on
- You have deep experience designing and scaling distributed data platforms and large-scale pipelines in cloud-native environments
- You excel at building reliable, observable, and maintainable data systems supporting critical business and analytics workloads
- You have strong expertise in distributed processing, performance optimization, and modern data architecture patterns
- You are comfortable leading technical initiatives and influencing architecture decisions across teams
- You communicate effectively with both technical and non-technical stakeholders
- You enjoy mentoring engineers and helping raise the engineering bar across teams
- You are energized by ownership, autonomy, and solving ambiguous technical challenges
- 8+ years of experience in data engineering, software engineering, or related fields with significant experience building and scaling distributed data platforms
- Demonstrated technical leadership experience with interest in or experience mentoring and leading engineers
- Strong proficiency in Python (PySpark), Java, Scala, or similar programming languages
- Advanced SQL expertise, including performance tuning and optimization across large datasets
- Deep experience with Apache Spark and cloud-native big data platforms, preferably within AWS environments (EMR, Glue, S3, Athena, Redshift, or similar)
- Experience designing and scaling modern cloud-native data lake architectures and large-scale ingestion frameworks
- Experience with orchestration and workflow management tools such as Argo, Airflow, or similar technologies
- Strong understanding of distributed storage systems, partitioning strategies, and file formats such as Parquet, Avro, and ORC
- Experience with Docker, Kubernetes, and modern containerization technologies
- Experience implementing monitoring, observability, and data quality frameworks within production environments
- Experience with large-scale data cleaning, parsing, normalization, and validation workflows preferred
- Experience working with healthcare, life sciences, publication, or large-scale entity-resolution datasets preferred
- Exposure to ML/AI-driven data enrichment, parsing, or validation workflows is a plus
- 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 Data Lake team at H1, you will play a critical role in shaping the architecture, scalability, reliability, and long-term direction of our core data platform. This role is designed for a highly technical engineer who is excited to grow into an Engineering Manager track while remaining deeply hands-on technically
- The Data Lake is the foundation of H1’s platform, responsible for the validation, accuracy, standardization, and quality of the data powering every downstream product and team across the organization. You will help lead the evolution of this platform while supporting and mentoring a growing team of engineers
- Architect, build, and scale distributed ETL/ELT pipelines and large-scale ingestion frameworks across structured and unstructured healthcare datasets
- Lead the evolution of H1’s Data Lake architecture with a focus on scalability, observability, reliability, and cost optimization
- Own and improve data quality, validation, normalization, and standardization workflows across thousands of global data sources
- Design and optimize batch and near real-time data processing frameworks using cloud-native distributed systems
- Optimize distributed compute and storage systems, including Spark workloads, query performance, partitioning strategies, and infrastructure efficiency
- Drive improvements in monitoring, governance, operational excellence, and production reliability across the platform
- Troubleshoot complex production data and infrastructure issues across distributed systems
- Partner closely with Product, Infrastructure, Security, Compliance, and downstream engineering teams to support scalable and secure data delivery
- Mentor engineers through technical leadership, architecture reviews, and engineering best practices
- Help define technical roadmap priorities and contribute to long-term platform strategy and execution planning
- Support production operations, incident response, and platform health as part of overall ownership of the Data Lake ecosystem
Application process
- Anticipated role close date: 8/1/2026
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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