Knit is a healthcare-native intelligence platform trained on real clinical data. Unified AI layer for specialist routing, patient flow, care allocation & more. Backed by Purple Arch Ventures.
About the role
As a Data Engineer II at Knit Health, you'll be a foundational member of a small, high-impact team building the data infrastructure behind our clinical AI platform. You'll help develop the clinical world data model that powers our AI systems, transforming complex healthcare data into reliable inputs for model training, research, and real-world applications. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Systems thinking and problem-solving: Ability to reason from first principles, understand how complex systems work, and independently design and troubleshoot solutions without relying exclusively on off-the-shelf tools
- Data engineering fundamentals: Strong understanding of data modeling, ETL/ELT, orchestration, database architecture, and data quality, including the underlying principles that make data systems scalable and reliable
- Large scale data processing: Hands-on experience processing large datasets using Spark or comparable frameworks, with an understanding of distributed computing, performance, and scalability
- Engineering experience: Approximately 4-6 years of professional data engineering experience, or equivalent hands-on experience designing, building, and maintaining production data pipelines and infrastructure
- Programming proficiency: Strong Python and SQL skills, including complex queries, data transformations, and writing clean, maintainable, well-tested code
- Cloud infrastructure: Hands-on experience with a major cloud platform such as Azure, AWS, or GCP
More about this role
Knit Health is building a novel clinical foundation model to improve how healthcare is delivered. We combine expertise in AI with deep clinical knowledge to develop safe, trustworthy systems that improve care, expand access, and reduce waste.
Knit is led by a founding team with roots at the University of California, Berkeley. The team has developed a novel AI architecture designed to reason like physicians. We are now using that foundation model, together with frontier clinical LLMs, to build a next-generation clinical intelligence platform for healthcare providers.
We are venture backed and work with U.S.-based health systems and data providers.
As a Data Engineer II at Knit Health, you'll be a foundational member of a small, high-impact team building the data infrastructure behind our clinical AI platform. You'll help develop the clinical world data model that powers our AI systems, transforming complex healthcare data into reliable inputs for model training, research, and real-world applications.
- Design, build, and maintain data pipelines and infrastructure at scale, collaborating closely with our science, AI, and product teams.
- Expand our data integrations to new clinical...
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