Data Engineer II
About The Position
Knit Health is building a clinical intelligence platform using a clinical foundation model and frontier clinical LLMs. The Data Engineer II will be a foundational member of a small, high-impact team responsible for building the data infrastructure behind the platform. The role includes developing the clinical world data model and transforming complex healthcare data into reliable inputs for model training, research, and real-world applications. The position works closely with science, AI, and product teams to build data pipelines, infrastructure, integrations, and large-scale processing systems. It also contributes to data architecture and standards for quality, testing, documentation, and observability, and supports data and product integrations with healthcare clients deploying the company’s AI models. The position is based in San Francisco, California, with a preferred hybrid arrangement of two to three office days per week. Remote candidates may be considered based on experience and qualifications. The starting salary range is approximately $150,000 to $175,000 per year, plus equity and opportunities for advancement.
Requirements
- Ability to reason from first principles, understand complex systems, and independently design and troubleshoot solutions.
- Strong understanding of data modeling, ETL/ELT, orchestration, database architecture, and data quality, including principles supporting scalable and reliable data systems.
- Hands-on experience processing large datasets with Spark or comparable frameworks, and 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 clean, maintainable, well-tested code.
- Hands-on experience with a major cloud platform such as Azure, AWS, or GCP.
Nice To Haves
- 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.
- Background in computer science, engineering, mathematics, physics, or a related technical discipline.
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 required 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 company’s AI models.
- Help shape data architecture and establish standards for data quality, testing, documentation, and observability.
Benefits
- Medical, dental, and vision coverage with 100% of premiums paid for employees and dependents; full coverage for dental, vision, and the Gold medical plan, with the option to buy up to Platinum coverage.
- Coverage begins on the first day of employment.
- 401(k) plan.
- 24 days of paid time off annually.
- Equity and opportunities for advancement.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
