Data Engineer II
About The Position
Knit Health is building a clinical foundation model and intelligence platform intended to improve healthcare delivery. The Data Engineer II will be a foundational member of a small team building the data infrastructure behind the platform. The role develops a clinical world data model and transforms complex healthcare data into reliable inputs for model training, research, and real-world applications. The engineer will design, build, and maintain data pipelines and infrastructure, expand integrations with clinical and healthcare data sources, and build large-scale processing systems. The role collaborates with science, AI, product, and healthcare clients, and helps shape data architecture and standards for quality, testing, documentation, and observability. The preferred location is San Francisco, California, with a hybrid arrangement of two to three days per week in the office. Remote candidates may be considered based on experience and qualifications. The starting salary range is approximately $150,000 to $175,000 per year, with base salary, equity, and opportunities for advancement.
Requirements
- Strong engineering fundamentals and the ability to independently solve complex technical problems.
- 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 for scalable and reliable data systems.
- Hands-on experience processing large datasets using Spark or comparable frameworks, with an 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.
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.
- Collaborate with science, AI, and product teams.
- Expand data integrations with 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 begins on the first day of employment.
- 401(k) plan.
- 24 days of PTO 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
