Senior Data Engineer

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Skills you'll use

What you'll do

• Own and evolve the data pipelines that power Roku's experimentation platform, ingesting event and configuration data into the Big Data Platform
• Design, build, and maintain orchestrated data workflows for experiment aggregations, metric computation, and downstream data delivery
• Develop distributed data processing jobs for large-scale event processing and experiment analytics
• Partner closely with Amoeba product engineering to align data contracts and ingestion patterns
• Participate in architecture discussions, influence the Amoeba data roadmap, and take ownership of the data layer of Roku's experimentation platform
• Support migration and modernization efforts across storage formats and cross-cloud workloads
• Ensure data quality, freshness, and observability across all Amoeba pipelines
• 8+ years professional experience as a data or software engineer, with more than 3 years building large-scale data pipelines in production

Who can apply

• Proficiency in at least one scripting language, Python is required
• Deep experience with big data technologies: Spark, Airflow, Hive, Kafka, Presto/Trino, HDFS
• Experience with Cloud platforms such as AWS, GCP, or Azure — hybrid/cross-cloud experience a plus
• Experience with experimentation platforms, A/B testing infrastructure, or event-driven data systems is a strong plus
• Familiarity with modern table formats (Iceberg, Delta, Hudi) is a plus
• AI literacy and an AI growth mindset
• Ability to collaborate with cross-functional teams — product engineers, analysts, data scientists — to translate requirements into robust data solutions
• BS in Computer Science; MS in Computer Science preferred

About Roku

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