Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We are focused on delivering an incredible member experience, ensuring that every stream is high-quality, thrilling, and uninterrupted. Quality of Experience (QoE) is one of the key areas where we measure and optimize our product's performance. Within Data Science and Engineering (DSE), we leverage data to measure, optimize, and personalize our product quality, aiming to provide a delightful, thrilling, and engaging experience for our members. In this role, you’ll collaborate with data engineers, software engineers, and QoE analytical engineers to build reliable, scalable data pipelines, transform client and server telemetry into core performance metrics, and surface QoE insights. The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to performance metrics and tools.