Description:

H1 is seeking a Big Data Engineer to join their remote Data Engineering team, focusing on building scalable data pipelines and enrichment workflows.
The role involves transforming raw client data into accurate, actionable insights with minimal guidance.
Responsibilities include developing processes to enrich data, building and maintaining reliable data pipelines, and integrating enriched data into broader systems.
The engineer will contribute to code reviews, follow development workflows, and collaborate with team members to address challenges.
The position emphasizes accuracy, scalability, and performance in data engineering tasks.

Requirements:

Candidates must have 3+ years of experience in data engineering, specifically in building scalable data pipelines and enrichment processes.
Proficiency in Spark, Python, and SQL is required for developing data processing pipelines.
Hands-on experience with Kubernetes for container orchestration and deployment is necessary.
A strong background in AWS services such as S3, Lambda, ECS, and RDS is essential for data infrastructure.
Experience with EMR and Databricks to optimize large-scale data workflows is required.
Understanding of LLM usage in production is preferred.

H1 offers a full suite of health insurance options and generous paid time off.
Employees enjoy pre-planned company-wide wellness holidays and retirement options.
Health and charitable donation stipends are provided.
The company supports impactful Business Resource Groups and offers flexible work hours.
Employees have the opportunity to work with leading biotech and life sciences companies in a mission-driven environment.