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Description:
The Personalization (PZN) team at Spotify aims to enhance the listening experience by providing tailored recommendations for music, podcasts, and audiobooks.
The team is seeking Senior Data Engineers to contribute to the development of products like Home, Search, and personalized playlists such as Made For You, Discover Weekly, and Daily Mix.
Responsibilities include working with large-scale data pipelines using frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.
The role involves developing, deploying, and operating Java services that impact millions of users.
Engineers will support machine learning projects to create personalized user experiences.
Collaboration with other engineers, product managers, and stakeholders is essential, with opportunities for learning and leadership.
The position requires delivering scalable, testable, maintainable, and high-quality code.
Sharing knowledge and promoting best practices through mentorship and accountability is encouraged.
Requirements:
Candidates should be familiar with data modeling, data access, and data storage techniques.
Experience with distributed data processing frameworks such as Beam or Spark is required.
A desire to work in a team that employs agile software development processes, data-driven development, and responsible experimentation is essential.
Candidates should value collaborative work opportunities.
Benefits:
The position offers a competitive salary range of $160,091 - $228,702, plus equity.
Benefits include health insurance and a six-month paid parental leave.
A 401(k) retirement plan is provided.
Employees receive a monthly meal allowance.
The role includes 23 paid days off and 13 paid flexible holidays.
The company offers flexibility in work location within the North Americas region.