H1 is hiring a
Data Engineer

Summary

Join H1 as a Software Engineer on the Data Engineering team to analyze vast amounts of data, write production pipelines, and collaborate with internal teams. This role involves being responsible for product features related to data transformations, enrichment, and analytics, working closely with stakeholders, and representing RWE data commercially.

Requirements

• 3+ years of experience working with strong big data engineering teams and deploying products on AWS
• Strong coding skills in Python (PySpark), Java, Scala or any proficient language of choice and stacks supporting large scale data processing
• Experience with Docker, Kubernetes or Terraform
• Experience with databases like PostgreSQL
• Software management tools such as Git, JIRA, and CircleCI
• Strong grasp of computer science fundamentals: data structures, algorithmic trade-offs, etc
• Experience with data processing technologies like Spark Streaming, Kafka Streaming, K-SQL , Spark SQL, or Map/Reduce
• Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation
• Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
• Should be willing to manage projects through all the stages (requirements, design, coding, testing, implementation, and support)
• Ability to write clean, modular data processing code that is easy to maintain

Responsibilities

• Be responsible for product features related to data transformations, enrichment, and analytics
• Work closely with internal stakeholders, gathering requirements, delivering solutions, while effectively communicating progress and tracking tasks to meet project timelines
• Act as a subject matter expert for Real World Evidence (RWE) data and represent the data commercially with customers, in collaborations with the product team, and in presentations to the ELC
• Help steer the technical strategy and architecture, ensuring the smooth development, deployment, and scalability of applications across the entire technology stack
• Collaborate closely with our Insights/AI team to build knowledge into our data and AI/ML platforms
• Work cross-functionally across the engineering, data, and product organizations to support your team in delivering the best healthcare data application in the market

Benefits

• Full suite of health insurance options
• Generous paid time off
• 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
• Pre-planned company-wide wellness holidays