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Data Engineer

Rad AISan Francisco - OnsiteEngineering
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Salary
$145K - $200K USD
Job type
Full-time
Posted
28 Aug 2026
Status
Open · checked 7d ago

About this role

This full-time Data Engineer position is based onsite in San Francisco with Radiology AI Platform, offering an opportunity to build and maintain advanced data pipelines and platform tools. The role is well-suited for an experienced data professional with a background in distributed data processing and infrastructure management.

Role Overview

Radiology AI Platform is seeking a Data Engineer to join the engineering team in San Francisco. This onsite position requires working from the San Francisco office four days per week. The professional in this role will focus on building, scaling, and maintaining the core data platform, pipelines, and management tools to support rapid client growth.

Key Responsibilities

Design and build scalable data architecture and pipelines utilizing tools like Apache Airflow, AWS Glue, and Spark.
Establish and extend internal standards for code style, maintenance, and platform best practices.
Partner with researchers and team members to support data requirements for model training and production monitoring systems.
Own key data engineering initiatives independently, managing projects from design to maintenance.
Implement data validation, access controls, and monitoring to protect data quality, security, and integrity.
Research and recommend new tools and technologies to streamline the data engineering lifecycle.

Requirements

Bring a minimum of five years of relevant experience in data engineering.
Demonstrate expertise in building distributed data pipelines for large datasets using big data tools.
Show hands-on background in productionizing, scaling, and documenting data infrastructure in complex environments.
Possess familiarity with database technologies, including SQL, PostgreSQL, AWS DynamoDB, and Elasticsearch.
Build and maintain data infrastructure using Infrastructure as Code tools such as Terraform.

Nice to Have

Background working in an early-stage startup environment.
Familiarity with HIPAA compliant settings.
Prior involvement in healthcare or machine learning projects.
Previous software engineering experience.

Skills and Tools

SQL
AWS
Spark
Airflow
Terraform

Salary and Benefits

Annual salary range between $145,000 and $200,000 USD.
Comprehensive medical, dental, vision, and life insurance coverage.
Health Savings Account with employer match, Flexible Spending Account, and Dependent Care FSA.
401(k) plan.
Eleven paid company holidays and a flexible paid time off policy.
Annual company-wide offsite and periodic team offsites.
Annual equipment stipend.

About the Company

Founded by a radiologist, Radiology AI Platform develops artificial intelligence solutions designed to reduce radiologist burnout, save time, and improve patient outcomes. The company holds one of the largest proprietary radiology report datasets globally and supports nearly half of all U.S. medical imaging. Recognized widely as a top healthcare AI innovator, the organization is backed by major investors and continues to expand its mission of empowering physicians through cutting-edge technology.

How to Apply

Interested candidates should submit their application directly through the official company careers page.

Skills and tech stack

SQLAWSSparkAirflowTerraform

Questions candidates ask

What is the location requirement for this Data Engineer role?

This position is based onsite at the San Francisco office, where employees are expected to work onsite four days per week.

What is the salary range for this position?

The salary ranges from $145,000 to $200,000 USD per year.

How many years of experience are required?

Candidates must have 5+ years of relevant experience in data engineering.

What core technologies will I be working with?

The role involves working with SQL, AWS, Spark, Airflow, and Terraform, among other database and pipeline technologies.

What benefits are provided for this full-time role?

Benefits include comprehensive medical, dental, vision, and life insurance, an HSA with employer match, a 401(k), flexible PTO, an annual equipment stipend, and company offsites.

Ready to apply?

The application is on the official Rad AI careers page.

Apply on company site