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Knit Health

Healthcare AI platform optimizing clinical operations

Data Engineer 2

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Ability to reason from first principles, understand complex systems, and independently design and troubleshoot solutions without relying exclusively on off-the-shelf tools.
  • Strong understanding of data modeling, ETL/ELT, orchestration, database architecture, and data quality, including principles that make data systems scalable and reliable.
  • Hands-on experience processing large datasets using Spark or comparable frameworks, with understanding of distributed computing, performance, and scalability.
  • Approximately 4–6 years of professional data engineering experience, or equivalent hands-on experience designing, building, and maintaining production data pipelines and infrastructure.
  • Strong Python and SQL skills, including complex queries, data transformations, and writing clean, maintainable, well-tested code.
  • Hands-on experience with a major cloud platform such as Azure, AWS, or GCP.

Responsibilities

  • Design, build, and maintain data pipelines and infrastructure at scale in collaboration with science, AI, and product teams.
  • Expand data integrations to new clinical and healthcare data sources, including the processing, modeling, and quality safeguards needed for reliable downstream use.
  • Build and optimize large-scale data processing systems for performance, scalability, and reliability.
  • Drive data and product integrations with healthcare clients deploying the AI models.
  • Help shape data architecture and establish standards for data quality, testing, documentation, and observability.

Desired Qualifications

  • Experience working with healthcare data, particularly provider-side clinical and claims workflows, including submitted and adjudicated claims.
  • Experience with Epic, EHR systems, or healthcare interoperability standards such as FHIR and HL7.
  • Familiarity with healthcare privacy and compliance frameworks, including HIPAA.
  • Experience using AI-assisted coding tools while maintaining strong code quality and testing practices.
  • Experience optimizing large-scale data processing workloads for cost and performance.
  • Experience with Azure and Databricks.
  • A background in computer science, engineering, mathematics, physics, or a related technical discipline.

About the Company

Knit Health

Healthcare AI platform optimizing clinical operations

Knit Health builds an AI platform that serves as a healthcare-native intelligence layer to improve hospital operations and patient care. Its Large Clinical Behavior Model is trained on de-identified EHR data from over 130 million patients via Truveta and uses deep reinforcement learning, causal inference, and behavioral cloning to guide actions like patient flow, triage, and resource allocation within existing hospital workflows. It differentiates itself by prioritizing real-world clinical practice as the source of truth and by serving as an infrastructure layer that can adapt to each health system’s patterns rather than relying on medical literature alone. Its goal is to become the foundational platform for clinical decisions, enabling continuous improvement in care delivery and patient outcomes through a closed loop of real-world data informing model updates.

Company size
11-50
Company stage
Seed
Total funding
$11.6M
Headquarters
United States
Founded
2024

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