Senior Data Engineer - Advertising Engineering

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. What does the team work on? The Data Foundations team plays a critical role in supporting Roku Ads business intelligence and analytics. The team is responsible for developing and managing foundational datasets designed to serve the operational and analytical needs of the broader organisation. The team's mission is carried out through three focus areas: acting as the interface between data producers and consumers, simplifying data architecture, and creating tools in a standardised way. What is the role? We are seeking a talented and experienced Senior Software Engineer with a strong background in big data technologies, including Apache Spark and Apache Airflow. This hybrid role bridges software and data engineering, requiring expertise in designing, building, and maintaining scalable systems for both application development and data processing. You will collaborate with cross-functional teams to design and manage robust, production-grade, large-scale data systems. The ideal candidate is a proactive self-starter with a deep understanding of high-scale data services and a commitment to excellence. How will I use AI at Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting context, planning work, verifying outputs, and recovering when the agent goes off course. If you are excited about working this way, we want to talk to you. At Roku, we're embracing AI as a powerful tool to amplify human creativity, accelerate innovation, and deliver better results for our customers. Across teams, we're exploring how AI can enhance our work—and we're only looking for people who are curious, adaptable, and excited to grow alongside these technologies. What are the responsibilities of the role? Big Data Engineering: p]:inline" data-streamdown="list-item">Design, develop, and maintain data pipelines and ETL workflows using Apache Spark, Apache Airflow p]:inline" data-streamdown="list-item">Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance p]:inline" data-streamdown="list-item">Develop and fine-tune complex queries and data processing jobs for large-scale datasets p]:inline" data-streamdown="list-item">Monitor, troubleshoot, and improve data systems for minimal downtime and maximum efficiency Software Development: p]:inline" data-streamdown="list-item">Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews Collaboration & Mentorship: p]:inline" data-streamdown="list-item">Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions p]:inline" data-streamdown="list-item">Provide technical guidance and mentorship to junior engineers, promoting best practices in data engineering AI-augmented engineering & intelligent data interfaces: p]:inline" data-streamdown="list-item">Apply modern AI-assisted development practices responsibly (for example assisted code review, test generation, and documentation) while maintaining production quality, security, and compliance standards p]:inline" data-streamdown="list-item">Design and evolve sem…