Senior Data Engineer

• Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Apache Airflow, AWS Glue 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.

• 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.

• Prior Software Engineering experience is a plus.

• Experience working at an early stage startup.

• Experience in a HIPAA compliant environment.

• Experience working on machine learning or healthcare related projects.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care - making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! 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!

Location Details:

For roles listed as San Francisco - Onsite :

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote :

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote :

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

• 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

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 no-reply@ashbyhq.com.