Summary

Trainline is hiring an embedded data engineer to build pipelines, data models, and feature stores for machine learning workloads. The role uses Python, SQL, dbt, Spark, Airflow, and AWS in a hybrid arrangement requiring office attendance at least 60% of the time.

Responsibilities

• Design and build scalable ml data pipelines
• Create data models and feature stores
• Deploy cloud-native data applications on aws
• Automate builds, testing, and releases with ci/cd
• Maintain production pipeline quality and observability
• Collaborate with ml engineers and data scientists