Data Engineer

Build the Data Backbone of a Healthcare AI Startup
Join a stealth-mode healthcare venture as their first Data Engineer and lay the groundwork for real-time, high-impact data systems that power clinical decisions

Industry: Healthcare AI
Domain: Real-time patient data analytics
Location: San Francisco / Austin TX / Remote (U.S. only)

About the Role

Youll be the founding Data Engineer at a healthcare AI startup backed by a leading Data/AI-focused VC firm. This role is ideal for someone who loves building from scratch and wants their work to have immediate impact in a deeply meaningful space.

 What Youll Do

• Design and build scalable data pipelines and ETL frameworks
• Develop real-time ingestion systems to support ML model deployment
• Partner with data scientists and AI engineers to operationalize analytics
• Architect and maintain the companys data infrastructure and lakehouse
• Ensure data integrity, governance, and security protocols

What Youll Bring

• Expert-level Python or Scala skills
• Hands-on experience with Spark, dbt, Airflow
• Proficiency in AWS (Glue, S3, Redshift), Snowflake, or BigQuery
• Strong SQL and data modeling expertise
• Familiarity with Docker, CI/CD, Terraform

Benefits

• Competitive salary + early-stage equity
• Remote-first team with flexible hours
• Health, dental, and vision insurance
• Wellness stipend + generous PTO policy
• Ground-floor opportunity to shape a data-first organization

Work Authorization

Applicants must be authorized to work in the U.S. We are not able to sponsor work visas at this time or in the future.