Data Engineer

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 Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features.
• This is a hands-on engineering role where you’ll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data.

Your Area of Focus:

• Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
• Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
• Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.

Your Professional Qualifications:

• 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.