Senior Data Engineer - Healthcare AI Data Platform

Rad AI; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

HSA with employer match

401(k)

Paid Holidays

Flexible PTO

Annual offsite

Equipment stipend

Job summary

Rad AI, a San Francisco-based healthcare AI company, is seeking a Senior Data Engineer to design and maintain a scalable data platform, pipelines, and management tools. You will work with researchers and engineers to translate data needs into robust, production-ready solutions.

The role emphasizes data quality, security, and governance, with hands-on ownership of projects and collaboration across teams. Proficiency with Apache Airflow, AWS Glue, Spark, and Terraform-based infrastructure is

Qualifications

• 5+ years of experience in data engineering.
• Experience designing distributed data pipelines on large datasets.

Responsibilities

• Design and maintain data architecture and pipelines to support research and production workloads.
• Collaborate with researchers and engineers to meet data needs including model training and monitoring.
• Own key data engineering projects from design to delivery.
• Ensure data quality, security, and access controls across the platform.

Skills

Data engineering

Distributed pipelines

SQL

NoSQL

Terraform

Airflow

Spark

Python

Security & compliance

Education

Bachelor's in CS/CE or related

Tools

AWS

DynamoDB

Elasticsearch

PostgreSQL

Terraform

Airflow

Job description

Rad AI, a San Francisco-based healthcare AI company, is seeking a Senior Data Engineer to design and maintain a scalable data platform, pipelines, and management tools. You will work with researchers and engineers to translate data needs into robust, production-ready solutions.

The role emphasizes data quality, security, and governance, with hands-on ownership of projects and collaboration across teams. Proficiency with Apache Airflow, AWS Glue, Spark, and Terraform-based infrastructure is