H1 is seeking a Staff Big Data Engineer to work remotely in the US, focusing on data engineering to develop and deliver critical data assets.
The role involves shaping the technical strategy and architecture of the Real World Evidence (RWE) product while working independently as a thought leader.
Responsibilities include leading key datasets, influencing data products, and implementing cost-efficient data pipelines while managing hundreds of terabytes of data.
The engineer will mentor other team members, advocate for best practices, and ensure projects align with strategic objectives and deliver measurable outcomes.
The position requires tackling complex technical challenges independently and collaborating cross-functionally to create high-impact solutions.
Requirements:
Candidates must have 8+ years of experience in data engineering, with a proven track record of building and maintaining scalable data systems and pipelines.
A minimum of 5 years of experience with big data tools such as Apache Spark and Hadoop, particularly on AWS EMR, is required, along with hands-on experience in tools like Apache Spark and Hudi/Delta Lake.
Proficiency in databases like PostgreSQL and familiarity with software management tools such as Git, JIRA, and CircleCI is necessary.
Experience in Developer Operations, including deploying to systems like AWS EMR and Kubernetes, is also required.
Benefits:
H1 offers a full suite of health insurance options and generous paid time off.
Employees benefit from pre-planned company-wide wellness holidays and retirement options.
Health and charitable donation stipends are provided, along with impactful Business Resource Groups.
The company promotes flexible work hours and the opportunity to work from anywhere.
Employees will have the chance to collaborate with leading biotech and life sciences companies in an innovative industry focused on improving global healthcare.
