• Work within a full-stack team of engineers to develop, maintain, and optimize scalable data pipelines, backend services, and APIs for data-driven features like recommendations, content discovery, groups, and events in VRChat. • Design and implement data models and schemas that support both analytical needs and real-time recommendation systems. • Collaborate with data scientists, product managers, and other engineers to ensure the correct data is captured, processed, and available to power meaningful user experiences. • Implement and maintain data processing jobs using big data technologies (e.g., Spark, Kafka) to handle large-scale datasets. • Contribute to the evolution of our technical and product capabilities, helping to progress from simple heuristics to more sophisticated, data-backed personalization for content and experiences. • Participate in the design and implementation of backend systems including REST and websocket APIs, caching systems, queueing systems, and cloud orchestration. • Be available to occasionally jump into action to solve an outage.