FAQs
What is the main focus of the Personalization (PZN) team at Spotify?
The main focus of the Personalization team is to make deciding what to play next on Spotify easier and more enjoyable for listeners by understanding the world of music, podcasts, and audiobooks to make great recommendations.
What technologies and frameworks will I be working with as a Data Engineer?
As a Data Engineer, you will work with large-scale data pipelines, data processing frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.
What programming language will I need to be familiar with for this role?
You will need to develop, deploy, and operate Java services, so familiarity with Java is important.
Is there an opportunity for collaboration in this role?
Yes, you will collaborate with other engineers, product managers, and stakeholders, taking on learning and leadership opportunities every day.
What kind of work environment can I expect?
You can expect a high-energy, positive team environment that promotes knowledge sharing and standard methodologies.
Where can I work from in this role?
You have the flexibility to work from anywhere within the North America region, as long as there is a designated work location available.
What time zone should I keep in mind for collaboration?
The team operates within the Eastern Standard time zone for collaboration.
What does the benefits package include?
The benefits package includes health insurance, six-month paid parental leave, a 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.
What is the salary range for this position?
The United States base salary range for this position is $160,091 - $228,702, plus equity.
How does Spotify promote inclusivity in the workplace?
Spotify promotes inclusivity by encouraging diverse voices, ensuring the workplace is welcoming for everyone, and providing accommodations during the recruitment process to support all candidates.