DataEngineer-Wrapped-FixedTerm

## What You’ll Do Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally. Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements. Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique listening journeys. Develop and optimize pipelines supporting AI-powered personalized playlist experiences and recommendation technologies. Collaborate with partner teams to integrate social and shared listening experiences into Wrapped and adjacent user experiences. Contribute to technical excellence by improving reliability, observability, performance, and development velocity across the squad’s data systems. Support experimentation and iteration on new storytelling concepts beginning early in the product development cycle. Work cross-functionally with engineering, product, design, and music domain experts to bring large-scale personalized experiences to life. ## Who You Are Experience of working in a product-driven engineering environment. You have experience working with high-volume, heterogeneous datasets using distributed systems and big data technologies such as Python, Scala, Scio, Ray, Apache Spark, or similar frameworks. You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, including experience with frameworks such as Scio and platforms like Dataflow. You understand data modeling, data access, and storage techniques across both batch and analytical processing systems. You have experience working with large-scale analytical systems such as BigQuery or similar technologies. You value iterative software development, data-driven decision making, reliability, responsible experimentation, and cost-efficient engineering practices. You thrive in collaborative environments and enj