Join Spotify's Kelp team as a Data Engineer I in the Licensing division, where you'll play a crucial role in building and maintaining enterprise data products for industry partners including record labels and audiobook publishers. This position offers an exciting opportunity to work with massive datasets, processing terabytes of data from hundreds of millions of users and billions of daily audio streams.
As part of the licensing team, you'll be instrumental in ensuring Spotify has the content rights needed for new product launches and profitable growth. You'll work with cutting-edge data processing frameworks and technologies, including Scala, Scio, Java, Flink, and Google Cloud Platform. The role combines technical expertise with business impact, as you'll gain deep insights into the music and audiobooks industries.
The position offers a competitive base salary range of $100,705 - $143,865, plus equity, along with comprehensive benefits including health insurance, generous parental leave, and retirement plans. Working remotely within North American time zones, you'll join a collaborative environment where you'll interact with software engineers, data scientists, and product owners.
This role is perfect for someone with a strong foundation in system design, data structures, and algorithms, combined with experience in backend services. You should be passionate about data engineering practices and quality code delivery. The position offers significant growth potential and the opportunity to impact the future of audio streaming technology.
What makes this role particularly exciting is the chance to work on systems that process billions of daily audio streams, directly contributing to the data infrastructure that powers the music and audiobook industries. You'll be part of a team that values autonomy and innovation, with the flexibility to tackle loosely defined problems and drive solutions that scale across Spotify's massive user base.