Data Engineer

Summary

Join H1, a company aiming to improve global healthcare access through data and AI, as a Software Engineer. You will build and maintain scalable data pipelines, integrate data from various sources, and contribute to code reviews. This role requires strong data engineering skills and experience with large datasets. You will collaborate with a team, focusing on accuracy, scalability, and performance. H1 offers a comprehensive benefits package including health insurance, paid time off, retirement options, wellness holidays, and flexible work arrangements.

Requirements

• 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
• 2- 3 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
• Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure
• Experience with EMR and Databricks to optimize large-scale data workflows

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

Preferred Qualifications

Understanding of optimizing LLM usage in production, with experience integrating LLMs into real-world applications and applying LLM-powered insights within data pipelines or customer-facing solutions

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