Data Engineer

Tebra is seeking a Data Engineer to work remotely, focusing on artificial intelligence and machine learning. In this role, you will be responsible for building, maintaining, and optimizing data infrastructure that supports Tebra's intelligent features. Daily tasks include designing scalable data pipelines for feature extraction and model monitoring, as well as enhancing data systems that facilitate analytics and machine learning workloads. You will also monitor production data pipelines to identify and resolve quality issues, ensuring data reliability and freshness. The position requires experience with modern data platforms, including data lakehouse and feature store technologies, and proficiency in SQL and Spark. You will participate in engineering discussions to influence data architecture and pipeline implementation, while also creating reusable components such as automated data quality checks. This hands-on role is ideal for individuals who enjoy collaborating with Machine Learning Engineers, Data Scientists, and Software Engineers to translate business requirements into effective data solutions. Tebra emphasizes secure communication and will only contact candidates through official channels.