Senior Data Engineer

The role

The Senior Data Engineer will build and maintain the data platform, pipelines, and management tools. You will design data architecture using tools like Apache Airflow, AWS Glue, and Spark to support researchers and production monitoring.

What you will do

• Design and implement data architecture using Apache Airflow, AWS Glue and Spark
• Define and extend internal standards for style, maintenance, and best practices
• Collaborate with researchers to understand data needs for model training and production monitoring
• Take ownership of key data engineering projects
• Ensure data quality, integrity, and security through validation, monitoring, and access controls
• Evaluate and recommend data technologies and tools

Required qualifications

• 5+ years relevant experience in data engineering
• Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets
• Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
• Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql)
• Designed, built and maintained data infrastructure using IaC like Terraform

Nice to have

• Prior Software Engineering experience
• Experience working at an early stage startup
• Experience in a HIPAA compliant environment
• Experience working on machine learning or healthcare related projects

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

About the company

Rad AI is a healthcare AI company that develops solutions to transform radiology. The company has secured over $140M in funding and uses generative AI to support thousands of radiologists.