Data Engineer

This role involves building and operating batch and streaming data pipelines to power experimentation and production systems for fraud detection, recommendations, and personalization. The position requires working with technologies like Kafka, Spark on Databricks, and Airflow to model and optimize data while partnering with data scientists and backend engineers. The successful candidate will own pipeline quality through testing, monitoring, and performance optimization, and participate in on-call rotations.