Senior Data Engineer - Remote Eligible

Senior Data Engineer

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.

Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand.

What You'll Do At H1

We're looking for a seasoned Senior Data Engineer who is operating at a high level. You will take ownership of designing and scaling the systems and pipelines that power H1's data platform. You will work cross-functionally with other engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. This is an opportunity to play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices.

You will:

• Work on developing strategies and frameworks to capture web data at scale.
• Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources.
• Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR).
• Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization.
• Transform, clean, and normalize complex datasets for downstream use, ensuring high standards of data quality and consistency.
• Partner with senior engineers to evolve H1's data architecture and infrastructure in support of product and platform scalability.
• Lead data integration efforts across multiple systems, ensuring accuracy and seamless collaboration across teams.
• Monitor and troubleshoot data flows and pipelines, proactively identifying and resolving performance issues.
• Maintain clear documentation of systems, workflows, and processes to promote transparency and operational excellence.
• Participate in code reviews and promote a culture of engineering excellence, mentorship, and continuous improvement.
• Collaborate closely with cross-functional teams to align technical execution with business goals

About You

You are a seasoned data engineer with a track record of building and maintaining large-scale data systems. You're excited by the opportunity to work on complex problems, enjoy collaborative work, and are passionate about building high-quality, performant solutions that impact real-world healthcare outcomes. You have an understanding of Large Language Models (LLMs) and their applications. It's a bonus if you're familiar with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts. You possess a basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS. You're able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders. You have strong analytical and problem-solving skills with a focus on data quality and performance optimization. You have a passion for writing clean, efficient code and following best practices.

Requirements

- 5+ years professional experience in data engineering or software engineering, working with large-scale data systems and pipelines.

- Strong proficiency in Python.

- Proficiency in web scraping strategies and technologies: curl, network analysis, proxies and selenium/playwright.

- Strong SQL skills and experience with PostgreSQL.

- Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR.

- Experience with Docker or other containerization technologies.

Compensation: This role pays $135,000 to $160,000 per year, based on experience, in addition to stock options.

Anticipated role close date: 4/28/2026

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
• Flexible work hours & the opportunity to work from anywhere
• 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.