Big Data Engineer, H1
$100-120k
+ Stock options
Platform connecting healthcare professionals
Open for applications
Platform connecting healthcare professionals
201-500 employees
Open for applications
$100-120k
+ Stock options
201-500 employees
Company mission
H1's mission is 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 have strong hands-on technical skills and experience in data engineering, with a track record of building and maintaining scalable data systems and pipelines. You excel at solving data engineering challenges and contributing to innovative solutions
- Experience developing and optimizing data workflows, applying business logic for data enrichment, and addressing technical challenges with creative solutions
- Strong knowledge of building and scaling data infrastructure, including integration with core platforms
- Experience working with data quality challenges and implementing validation mechanisms
- Self-motivated with the ability to manage tasks and collaborate effectively within a team
- Ability to align work with broader organizational goals and contribute to strategic initiatives
- Proactively identifies potential risks and helps implement solutions early in the project lifecycle
- Eager to learn, grow, and contribute to a collaborative, high-performing engineering team
- 3+ years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a track record of working with large datasets, including ingestion, transformation, and optimization
- Proficiency in Spark, Python, and SQL for building scalable data processing pipelines
- Hands-on experience with Kubernetes for container orchestration and deployment
- Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure
- Experience with EMR and Databricks to optimize large-scale data workflows
- Has an understanding of LLM usage in production
What the job involves
- Data Engineering is responsible for the development and delivery of our most important asset - our data
- Looking across thousands of data sources from across the globe, the data engineering team is responsible for making sense out of that data to create the world’s most extensive and comprehensive knowledge base of healthcare stakeholders and the ecosystem they influence
- It is our job to ensure that only accurate, normalized data flows through to our customers, and at a velocity that keeps up with the changes in the real world
- As a Data Engineer on the H1DN Team, you will play a key role in building scalable data pipelines and enrichment workflows that transform raw client data into accurate, actionable insights
- With minimal guidance, you will focus on data ingestion and enrichment, ensuring seamless integration of client data from diverse sources (CSV, Parquet, JSON, APIs) while tackling challenges related to scalability, data quality, and standardization
- Develop and enhance processes to enrich raw or partially processed data using established business logic, ensuring it is accurate and ready for product use
- Build and maintain scalable and reliable data pipelines that support the team’s enrichment workflows
- Integrate enriched data from core platforms (e.g., CT platform) into broader data systems, applying necessary transformations and aligning with business requirements
- Contribute to code reviews, holding a high bar for quality and aligning with organizational engineering guidelines
- Follow development workflows, including coding, testing, deployment, and monitoring, to ensure quality and efficiency
- Work collaboratively with team members and escalate issues appropriately when challenges arise
- Contribute to the understanding and execution of tasks with a strong focus on accuracy, scalability, and performance
Application process
- Anticipated role close date: 05/28/2025
Our take
Contrary to an increased emphasis on data privacy globally, within the healthcare industry governments are pushing for more data transparency. Additionally, 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 capped off a successful year by closing a Series B funding round that December. In 2021, H1 worked to further expand the company into Europe and Asia. Following a successful 2022 Series C round the company is focusing on building out its data network and hiring additional talent.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2022
$23m
SERIES C
Nov 2021
$100m
SERIES C
Total funding: $187m
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
(Co-Founder & CEO)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.
Share this job
View 6 more jobs at H1