Data Engineer

Rad AI; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, Vision & Life insurance

401(k)

Flexible PTO policy

Job summary

Rad AI is looking for a Senior Data Engineer to enhance our data collection systems and management tools. This role involves designing scalable data architectures and collaborating with researchers to meet data needs. Candidates should have over 5 years of experience in data engineering and expertise in big data technologies, including AWS and Spark, to support our rapid growth in the healthcare AI field.

Join us at Rad AI as we transform radiology with AI-driven solutions!

Qualifications

• 5+ years relevant experience in data engineering.
• Expertise in designing and developing distributed data pipelines.
• Experience with AWS, including Amazon EMR and AWS Batch.

Responsibilities

• Design and implement scalable data architecture.
• Collaborate with researchers to understand data needs.
• Ensure data quality and integrity with robust validation.

Skills

Data pipeline design

Big data technologies

AWS services

SQL and NoSQL databases

Containerization (Docker, Kubernetes)

Tools

Spark

Metaflow

Job description

About Rad AI

Rad AI is a healthcare artificial intelligence company that is transforming radiology. Founded by a radiologist, its AI-driven solutions are designed to increase accuracy, reduce burnout, and improve patient outcomes. The company claims to have one of the largest proprietary radiology report datasets in the world and uses it to uncover new cancer diagnoses and reduce errors in radiology reports.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth and ambitious plans for the year ahead, we are expanding the team and looking for a skilled professional to play a key role in building and maintaining data collection systems, pipelines, and management tools.

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

What You’ll Be Doing

• Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark.
• Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.
• Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.
• Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.
• Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.
• Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.
• Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

Who We’re Looking For

• 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.
• Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.
• Experience in large scale data processing technologies such as Spark.
• Expertise in orchestrating workflows using tools like Metaflow.
• Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
• Hands-on experience with containerization technologies, such as Docker and Kubernetes.
• Prior Software Engineering experience is a big plus.

Nice to Haves

• 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
• For roles based outside the US, your recruiter can share more details

EEO Statement

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain radai.com or [e-mail].