Summary
Join H1, a company dedicated to providing accessible healthcare information globally, as a Data Engineer. You will contribute to the development, optimization, and scaling of data pipelines and infrastructure. Collaborate with various teams to build efficient and scalable data solutions. This role requires expertise in data engineering and a passion for building efficient solutions. You will work with large datasets, build data pipelines, and troubleshoot data issues. H1 offers a comprehensive benefits package including health insurance, paid time off, retirement options, and flexible work arrangements.
Requirements
- You have an understanding of Large Language Models (LLMs) and their applications
- You possess a basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS
- Youโre able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders
- You have strong analytical and problem-solving skills with a focus on data quality and performance optimization
- You have a passion for writing clean, efficient code and following best practices
Responsibilities
- Design, develop, and maintain scalable data extraction frameworks to collect data from a variety of diverse sources
- Continuously improve and enhance the efficiency and reliability of data collection, extraction, and normalization
- Work with large datasets, transforming and processing structured and unstructured data for downstream use
- Build and maintain efficient, reliable data pipelines and ETL processes and big data tools such as spark
- 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
Preferred Qualifications
Itโs a bonus if youโre familiar with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts
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
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