Big Data Engineer

Summary

Join H1 as a Staff Data Engineer and become a senior individual contributor and thought leader on the RWE team. You will shape the technical strategy and architecture of our internal Real World Evidence product, working independently on high-priority projects with significant end-user impact. This role involves leading key datasets, influencing data products, working with large datasets, mentoring other engineers, and championing engineering excellence. You will collaborate cross-functionally, develop cost-efficient data pipelines, and ensure data quality and security. The position requires a high degree of independence and the ability to navigate complex technical challenges. H1 offers a competitive salary, stock options, and a comprehensive benefits package.

Requirements

• Skilled in solving complex data problems and delivering innovative solutions
• Experienced in cross-functional collaboration and strategic alignment
• Clear communicator with strong technical documentation skills
• Committed to data quality, security, and best engineering practices
• Self-driven, with a focus on ownership and risk mitigation
• Passionate about mentoring and building high-performing teams
• 8+ years in data engineering with a track record of building and maintaining scalable data systems and pipelines
• 5+ years working with big data tools such as Apache Spark, Hadoop, particularly on AWS EMR, with practical hands-on experience in tools like Apache Spark, and Hudi/Delta Lake
• Experience with databases like PostgreSQL
• Software management tools such as Git, JIRA, and CircleCI
• Developer Operations, deploying to systems like AWS EMR, and Kubernetes

Responsibilities

• Lead and own some of the key datasets in the RWE team, shaping the strategy and architecture to ensure the smooth development, deployment, and scalability of data pipelines across the tech stack, while aligning with organizational goals
• Influence data product for the dataset you are responsible for by engaging with SME and becoming yourself SME for the domain
• Work with 100s of TB data by implementing cost efficient data pipelines
• Drive your team’s success by providing guidance, removing obstacles creatively, and shaping roadmaps and objectives that support consistent progress
• Tackle ambiguous and complex technical challenges independently, with minimal need for external support
• Develop a deep understanding of end-user needs and collaborate cross-functionally to deliver high-impact solutions
• Focus on high-priority projects (P0s and P1s) that create significant value for users and stakeholders
• Mentor and support engineers on your team, helping them grow technically and achieve their goals
• Champion a culture of engineering excellence by promoting best practices, high standards, and continuous improvement
• Ensure your projects deliver meaningful, measurable outcomes that align with strategic objectives and end-user impact

Benefits

• 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