Data Engineer II

The role

You will build the data infrastructure behind a clinical AI platform. You will design and maintain data pipelines and develop a clinical world data model to transform healthcare data for model training and research.

What you will do

• Design, build, and maintain data pipelines and infrastructure at scale
• Expand data integrations to new clinical and healthcare data sources
• Build and optimize large-scale, data processing systems
• Drive data and product integrations with healthcare clients
• Shape data architecture and establish standards for quality, testing, documentation, and observability

Required qualifications

• Systems thinking and problem-solving
• Data engineering fundamentals including data modeling, ETL/ELT, orchestration, database architecture, and data quality
• Hands-on experience processing large datasets using Spark or comparable frameworks
• Approximately 4-6 years of professional data engineering experience, or equivalent hands-on experience
• Strong Python and SQL skills
• Hands-on experience with a major cloud platform such as Azure, AWS, or GCP

Nice to have

• Experience working with healthcare data, particularly provider-side clinical and claims workflows
• 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
• Experience optimizing large-scale data processing workloads for cost and performance
• Experience with Azure and Databricks

Benefits

• Medical, dental, and vision coverage with 100% of premiums paid for employees and dependents
• Gold medical plan included; employees may choose to buy up to Platinum
• 401(k) plan
• 24 days of PTO annually

About the company

Knit Health is building a novel clinical foundation model to improve how healthcare is delivered. The team uses a novel AI architecture to build a clinical intelligence platform for healthcare providers.