Senior Data Engineer for AI-Driven Healthcare

Transformcap; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, Vision 

Life insurance

HSA with employer match

401(k)

11 Paid Company Holidays

Flexible PTO

Annual company-wide offsite

Annual equipment stipend

Job summary

Rad AI is seeking a Senior Data Engineer to join their engineering team. You will design and maintain data pipelines and a scalable data platform, collaborating with researchers and stakeholders to support model training and production monitoring.

The role emphasizes building robust data infrastructure, enforcing data quality, security, and governance in a fast-paced healthcare AI environment. Remote-friendly within the United States.

Qualifications

• 5+ years of data engineering experience.
• Proven ability to design and develop distributed data pipelines.
• Experience with SQL and NoSQL databases (e.g., DynamoDB, ElasticSearch, PostgreSQL).
• Experience building and maintaining data infrastructure using Infrastructure as Code (Terraform).
• Experience designing, planning, productionizing, and maintaining scalable data platforms.

Responsibilities

• Design and implement the data architecture for scalable data platforms.
• Define and extend internal standards for data quality, maintenance, and best practices.
• Collaborate with researchers and stakeholders to understand data needs for model training and production monitoring.
• Own key data engineering projects from design to deployment.
• Ensure data validation, monitoring, and access controls for data security and integrity.
• Evaluate and recommend data technologies to improve efficiency and effectiveness.

Skills

Data engineering experience

Distributed data pipelines

Data architecture design

Data quality & monitoring

Tools

Apache Airflow

AWS Glue

Spark

SQL

NoSQL databases

PostgreSQL

Terraform

Job description

Rad AI is seeking a Senior Data Engineer to join their engineering team. You will design and maintain data pipelines and a scalable data platform, collaborating with researchers and stakeholders to support model training and production monitoring.

The role emphasizes building robust data infrastructure, enforcing data quality, security, and governance in a fast-paced healthcare AI environment. Remote-friendly within the United States.