Data Engineer - Personalization - Remote

Overview

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

In Short

• Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam.
• Develop, deploy, and operate Java services that impact millions of users.
• Support machine learning projects powering personalized user experiences.
• Collaborate with engineers, product managers, and stakeholders.
• Deliver scalable, testable, maintainable, and high-quality code.
• Promote standard methodologies through mentorship and accountability.

Requirements

• Familiarity with data modeling, data access, and storage techniques.
• Experience with distributed data processing frameworks (e.g., Beam, Spark).
• Interest in agile software development processes and data-driven development.
• Value collaborative work opportunities.

Benefits

• Flexibility to work from anywhere within the North Americas region.
• High-energy and positive team environment.
• Opportunities for learning and leadership.