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 The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer on the Amoeba team, you will contribute to Roku's experimentation platform — the system that powers A/B testing, feature rollouts, and product decision-making across every Roku surface. This position is a key role in enabling Roku's product and engineering teams to make data-driven decisions at scale. About the role As a Sr. Data Engineer on Amoeba, your primary responsibility will be to design, implement, and maintain the data pipelines and infrastructure that power Roku's experimentation platform. You will collaborate with cross-functional teams — product engineering, analytics, and business stakeholders — to ensure experiment data is accurate, timely, and scalable. Additionally, you will play a key role in evolving the Amoeba data architecture, optimizing large-scale workloads, and enabling self-serve experiment analytics for the broader organization. This role requires hybrid working; you will be based in Bangalore. 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 Th…