Sr. Data Engineer

Position Overview

• Location Type: Remote
• Job Type: Full time
• Salary: Not specified
• Company: H1
• Mission: To provide a platform that optimally informs every doctor interaction globally, promoting health equity and building trust in healthcare systems.

H1 believes access to the best healthcare information is a basic human right. They utilize data and AI technology to unlock medical insights and accelerate equitable drug development. Learn more at h1.co.

Data Engineering Team Focus

The Data Engineering team is responsible for developing and delivering H1’s most important asset: its data. They ensure data accuracy, normalization, and delivery at a velocity that keeps pace with real-world changes as the company expands its markets and data scope.

What You'll Do at H1

As a Data Engineer at H1, you will contribute to the development, optimization, and scaling of data pipelines and infrastructure. You will collaborate with senior engineers, product managers, and cross-functional teams to build efficient and scalable data solutions.

• Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Implement data quality checks, monitoring, and logging; ensure adherence to data governance standards.
• Monitor and improve the performance of data systems and pipelines; troubleshoot data-related issues and bottlenecks.
• Evaluate, integrate, and develop data engineering tools that enhance productivity and ensure system reliability.
• Collaborate with senior engineers to improve data architecture and infrastructure.
• Support data integration efforts from multiple sources, ensuring consistency and accuracy.
• Troubleshoot data issues, optimize queries, and improve data retrieval performance.
• Document data processes and workflows, ensuring transparency and repeatability.
• Participate in code reviews and contribute to best practices for clean, maintainable code.
• Engage with cross-functional teams to understand business needs and help translate them into data solutions.

About You

• Solid technical skills in data engineering and a passion for building efficient, scalable solutions.
• Thrives in a collaborative environment, enjoys learning from experienced team members, and is eager to take on increasing responsibility.
• Excels at building and maintaining scalable, efficient ETL/ELT pipelines and data systems.
• Cares deeply about data quality, reliability, and observability, and implements monitoring to ensure both.
• Able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills with a focus on data quality and performance optimization.
• Passion for writing clean, efficient code and following best practices.

Requirements

• 5+ years of experience in data engineering, working with large-scale data systems and pipelines.
• Proficiency in programming languages like Python, Java, or similar languages.
• Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins.
• Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR.
• Experience with Docker or other containerization technologies.

Application Instructions

• To express your interest and highlight your contributions, please submit a cover letter detailing how you can contribute to the team.