Data Engineer, Music Expression

Spotify is looking for a Data Engineer to join our Music Expression organization; the newly built team focused on empowering artists and fans to form deeper connections via new ways to express themselves and their music. The specific opening is for a mid-to-senior experienced Data Engineer to join the team building and managing the new Countdown Pages feature. In particular, this role also potentially contributes to the backend stack.

Music Expression is a highly collaborative team who enjoys tackling big challenges; our most recent successes have included enabling 40,000 artists to share a special message during Spotify Wrapped to over 300 million viewers. This team was also behind the most successful pre-release campaign in Spotify history: Taylor Swift’s Midnights album release.

What You'll Do

• Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new product objectives.
• Collaborate with engineers, product managers, experts, and business partners, taking learning and leadership opportunities that will arise every single day.
• Work in an environment that supports your individual growth by providing you with challenging tasks to tackle and the freedom to acquire new skills in hack time, reading groups, lectures, and a variety of internal training courses.
• Deliver testable, maintainable, and high-quality code and take operational responsibility for the components that you develop.
• Hack on what you want during regular hack days and bi-annual hack weeks.
• Be a technical leader within the team you work with and within Spotify in general
• Help drive optimization, testing, and tooling to improve data quality.
• Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability
• Design, build and maintain data pipelines using data processing frameworks like Scio on Google Cloud Platform.

Who You Are

• You have experience or strong interest to learn backend API development for distributed services.
• A self-motivated individual contributor and teammate that is able to multitask, prioritize and communicate progress in a constantly evolving environment.
• Love building positive relationships with colleagues and multiple customers and can explain sophisticated topics in simple terms.
• You have worked with high volume heterogeneous data, and have production level experience with one or more higher level JVM based data processing frameworks such as Beam, Dataflow, Crunch, Spark, etc.
• You are knowledgeable about data access and data storage techniques.
• Have an understanding of system design, data structures, and algorithms.

Where you'll be

• Where in the world? For this role, it can be within the Americas region in which we have a work location
• We are a distributed workforce enabling our band members to find a work mode best for them!
• Working hours? We operate within the Eastern Standard time zone for collaboration
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here

The United States base range for this position is $140,246-175,308, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.