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.co to learn more about us.

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.

We’re looking for a seasoned Senior Data Engineer who is operating at a high level and is either ready or nearly ready to step into a Staff-level individual contributor role. 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.

- 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

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

- 6+ years of experience in data engineering, working with large-scale data systems and pipelines.

- Proficiency in programming languages like Python, Java, or similar languages.

- Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins.

- 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.

- 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