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Teli Labs in Cambridge is seeking a backend/data engineer to build data foundations for autonomous lab scheduling systems and digital twin models. You will create data pipelines and governed lakehouse architectures to convert raw experimental output into trustworthy data for scientists.
Requirements include 4-8 years in production Python services and data engineering with workflow orchestrators, strong SQL, and end-to-end service ownership, with AWS EKS and cloud-native delivery expertise.
Build back-end and data foundations for autonomous lab scheduling systems and digital twin models. Develop data pipelines and governed lakehouse architectures to turn raw experimental output into trustworthy data for scientists.
Requirements: Requires 4-8 years of experience in production Python services and data engineering using workflow orchestrators. Proficiency in SQL, cloud-native delivery via AWS EKS, and end-to-end service ownership is essential.
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