Responsibilities

Build and maintain scalable and reliable data pipelines that support the team’s enrichment workflows.
Integrate enriched data from core platforms into broader data systems, applying necessary transformations and aligning with business requirements.
Contribute to code reviews, holding a high bar for quality and aligning with organizational engineering guidelines.
Follow development workflows, including coding, testing, deployment, and monitoring, to ensure quality and efficiency.
Work collaboratively with team members and escalate issues appropriately when challenges arise.
Contribute to the understanding and execution of tasks with a strong focus on accuracy, scalability, and performance.

Requirements

4-6 years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a track record of working with large datasets, including ingestion, transformation, and optimization
Proficiency in Spark, Python, and SQL for building scalable data processing pipelines
Hands-on experience with Kubernetes for container orchestration and deployment
Hands-on experience with Elasticsearch
Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure
Experience with AWS EMR and Databricks to optimize large-scale data workflows

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

Work Arrangement

Remote (Worldwide)

WHAT YOU'LL DO AT H1

You will collaborate with a multidisciplinary team including, data engineers, product managers, and business stakeholders, to gather materials and understand user needs. Your contributions will be crucial in providing optimal solutions that align with both our product goals and specific user needs, all while ensuring timely delivery.

ABOUT YOU

You have strong hands-on technical skills and experience in data engineering, with a track record of building and maintaining scalable data systems and pipelines. You excel at solving data engineering challenges and contributing to innovative solutions.
Experience developing and optimizing data workflows, applying business logic for data enrichment, and addressing technical challenges with creative solutions
Strong knowledge of building and scaling data infrastructure, including integration with core platforms
Experience working with data quality challenges and implementing validation mechanisms
Self-motivated with the ability to manage tasks and collaborate effectively within a team
Ability to align work with broader organizational goals and contribute to strategic initiatives
Proactively identifies potential risks and helps implement solutions early in the project lifecycle
Eager to learn, grow, and contribute to a collaborative, high-performing engineering team