Data Engineer, Personalization

Spotify, the world's leading audio streaming platform, is seeking a Data Engineer to join their Personalization's Hulk squad. This team is at the forefront of developing Human Understandable Language Knowledge using Large Language Models to enhance podcast and audiobook understanding. The role offers a unique opportunity to impact millions of listeners' experiences through sophisticated recommendation systems.

The position combines data engineering with machine learning, requiring expertise in building scalable data pipelines and working with cutting-edge LLM technologies. You'll be part of a cross-functional team that includes ML Engineers, Backend Engineers, and researchers, focusing on developing and maintaining robust data systems that power Spotify's content understanding capabilities.

Key responsibilities include managing large-scale data pipelines, supporting LLM model inference, developing training datasets, and creating monitoring tools for AI product quality. The role offers competitive compensation ($160,091-$228,702 plus equity) and comprehensive benefits including health insurance, parental leave, and flexible work arrangements.

The ideal candidate should be passionate about data engineering, experienced with high-scale production pipelines, and have a strong interest in machine learning technologies. You'll work in an agile environment that values experimentation, iteration, and knowledge sharing. This position offers the flexibility to work remotely within North America, with collaboration centered in the Eastern Standard time zone.

Join Spotify's inclusive workplace culture where diversity is celebrated and innovation is constant. You'll be part of a company that has revolutionized the music industry and continues to push boundaries in audio streaming technology.