About the role

Tebra only initiates contact with candidates via email from an official Tebra email address (@ tebra.com , @ patientpop.com , or @ kareo.com ) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging. About the Role As a Data Engineer focused on AI/ML , you’ll build, maintain, and optimize the data infrastructure that powers Tebra’s intelligent features. You’ll partner closely with Machine Learning…

What they ask for

3+ years of professional experience in Data Engineering, Software Engineering, or a related field
2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads
Strong proficiency in Python and SQL with experience developing production-quality data pipelines

That's the short version. The full description is on weworkremotely.com's site.