Senior Data Engineer

Join Roku as a Senior Data Engineer on the Viewer Product Data Engineering team. In this role, you will design data models, build scalable pipelines, and enable data-driven decisions that shape the content discovery and viewing experience for millions of users worldwide. You will build and maintain highly scalable, fault-tolerant distributed data processing systems and participate in architecture discussions, influence the product roadmap, and take ownership of new projects. This is an exciting opportunity for a data engineering professional who thrives in a fast-paced environment and is passionate about solving complex data challenges at scale.

• Concevoir des modèles de données et construire des pipelines évolutifs pour capturer les métriques commerciales.
• Construire et maintenir des systèmes de traitement de données distribués hautement évolutifs et tolérants aux pannes.
• Participer aux discussions d'architecture, influencer la feuille de route du produit et prendre en charge de nouveaux projets.
• We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
• And you can describe projects where you shipped real work with these tools
• You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you
• Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
• Proficiency in at least one scripting language, with Python preferred
• BS in Computer Science or a related field; MS in Computer Science preferred
• Extensive experience with big data technologies such as Hadoop (HDFS, YARN, MapReduce), Hive, Kafka, Spark, Airflow, and Presto/Trino
• Deep expertise in Apache Spark, including performance tuning, optimization, and building scalable batch and streaming data pipelines
• 8+ years of professional experience as a Data Engineer
• Experience with AWS, GCP, or Looker
• Experience collaborating with cross-functional teams such as developers, analysts, and operations to deliver results
• AI literacy and an AI growth mindset
• Extensive SQL skills with the ability to write complex, optimized queries