Senior Data Engineer

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

Sr. Data Engineer — Amoeba (Experimentation Platform)

About the team

About the role

What you'll be doing

• 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

We're excited if you have

• 8+ years professional experience as a data or software engineer, with more than 3 years building large-scale data pipelines in production
• 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

What's Roku's approach to hybrid working?

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

The rest of this description is on the employer’s own page.