Data Engineer

Job Description

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.

Full-time

Hybrid remote