Remote Data Engineer, Personalization

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 a Data Engineer with backend experience to develop a platform for ingesting, modeling, and materializing high-scale, event-driven user behavior data.
• The role involves working with large-scale data pipelines using frameworks such as Scio, BigQuery, Google Cloud Platform, and Apache Beam.
• Responsibilities include developing, deploying, and operating Java services that impact millions of users and supporting machine learning projects for personalized user experiences.
• The Data Engineer will collaborate with engineers, product managers, and stakeholders, while also promoting best practices through mentorship and accountability.
• The position offers the opportunity to grow engineering skills at scale and contribute to the long-term vision of the platform in a positive team environment.

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 an agile software development environment that emphasizes data-driven development and responsible experimentation is essential.
• The ideal candidate values collaboration and is eager to take on learning and leadership opportunities.

Benefits:

• The position offers a competitive salary range of $160,091 to $228,702, plus equity.
• Benefits include health insurance, six months of paid parental leave, a 401(k) retirement plan, and a monthly meal allowance.
• Employees receive 23 paid days off and 13 paid flexible holidays, along with paid sick leave.
• Spotify is committed to inclusivity and provides reasonable accommodations during the recruitment process to support all candidates.