Senior Data Engineer

Everforth seeks a Senior Data Engineer to design and operate scalable real-time data pipelines and data models that support clinical monitoring and machine learning workflows. The role involves building integrations with electronic health records, medical devices, and hospital systems, deploying in AWS with Snowflake and MySQL, and working in a HIPAA compliant environment.

Summary

In this role, you will design and operate scalable data pipelines and data models to enable both application needs and analytics within a healthcare context. You will collaborate on integrations with EHRs, medical devices, and hospital systems, deploy data infrastructure on AWS using Snowflake and MySQL, and ensure compliance with HIPAA standards.

Responsibilities

• Design, build, and maintain scalable data pipelines that ingest data from EHR systems, medical devices, and hospital systems
• Develop integrations using APIs, webhooks, and CDC based ingestion patterns
• Transform and normalize data for downstream systems such as MySQL and Snowflake
• Construct high-throughput, reliable pipelines supporting both real-time and batch workloads
• Work with core healthcare data including ADT events, clinical data, and vitals
• Collaborate with internal teams and customers on data onboarding and reliability
• Design data models to support both application and analytics use cases
• Optimize performance and scalability across Snowflake and MySQL
• Deploy and operate data systems in AWS
• Implement monitoring, logging, and alerting for production pipelines
• Support production systems and pursue continuous reliability improvements
• Operate within a HIPAA compliant environment with team support
• Partner with ML teams on feature pipelines and data quality initiatives

Requirements

• 5+ years of experience in Data Engineering or Backend Engineering
• Strong Python and SQL skills
• Experience building production-grade data pipelines end-to-end
• Experience with Snowflake and MySQL
• Experience with APIs, webhooks, or CDC style ingestion
• Experience working in AWS or similar cloud environments
• Experience working with sensitive or regulated data is a plus

Technologies

• Python
• SQL
• Snowflake
• MySQL
• AWS

Benefits

• 100% company-paid medical, dental, and vision
• 401(k) with company match
• Bonus and equity
• Generous PTO
• Professional development budget
• Company-paid annual retreat

NICE TO HAVE

• Exposure to HL7 or FHIR
• Experience supporting ML pipelines
• Experience with real-time or streaming systems

Why This Role

• Direct impact on patient outcomes
• Real-time, high-scale data challenges
• High ownership environment on a small, strong team
• Opportunity to help build out the San Francisco team