Rad AI
Senior Data Engineer
$145K–$200K
San Francisco - Onsite +1 · On-site · Senior · Full-time · Posted Oct 12, 2026
- Location
- San Francisco - Onsite
United States - Remote - Experience
- 5+ years relevant experience in data engineering.
About the job
Build and maintain Rad AI’s scalable data platform, pipelines, and tools, supporting research, model training, and production monitoring.
What you'll do
- Design data architecture and distributed pipelines using pipeline-authoring and large-scale processing tools.
- Set data-platform standards and own data engineering projects, from design through maintenance.
- Ensure data quality, integrity, and security; collaborate with researchers and stakeholders on data solutions.
What they ask for
- 5+ years relevant experience in data engineering.
- Expertise designing and developing distributed data pipelines with big data technologies on large-scale datasets.
- Hands-on experience building, productionizing, maintaining, and documenting reliable, scalable data infrastructure and products in complex environments.
- Experience with SQL, NoSQL databases, and IaC such as Terraform.
Nice to have
- Prior software engineering experience.
- Experience at an early-stage startup, in a HIPAA-compliant environment, or on machine-learning or healthcare projects.
Pay
$145K – $200K (base salary)
Tools
Apache Airflow, AWS Glue, Spark, SQL, AWS DynamoDB, ElasticSearch, Postgresql, Terraform
AI focus
Build data solutions supporting model training and production monitoring systems.
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