Data Engineer, Fan Monetization - Fan Insights and Guidance
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!We are looking for a passionate team member to help us build and maintain products that will deliver impactful experiences for fans and artists. Early this year, we will be investing in a critical product for helping artists promote their music on our platform. In particular, this role will focus on the batch data pipelines, with possibilities to also contribute to the backend stack. As our squad provides foundational support for commerce capabilities across all the fan monetization offerings in the tribe, there will be opportunities to contribute across the entire portfolio.
What You'll Do
- Design, build and maintain data pipelines using data processing frameworks like Scio on Google Cloud Platform.
- Help drive optimization, testing, and tooling to improve data quality.
- Collaborate with engineers, product managers, experts, and business partners, taking learning and leadership opportunities that will arise every single day.
- Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new product objectives.
- Work in an environment that supports your individual growth by providing you with exciting tasks and the freedom to acquire new skills across different disciplines, 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.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability
- Be a technical leader within the team you work with and within Spotify in general
- Hack on what you want during regular hack days and bi-annual hack weeks.
Who You Are
- 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.
- You have experience or strong interest to learn backend API development for distributed services.
- Have an understanding of system design, data structures, and algorithms.
- 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.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- 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
- Working hours? We operate within the Eastern Standard time zone for collaboration
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.
Tags: Agile API Development APIs Dataflow Data pipelines Data quality GCP Google Cloud Pipelines Spark Streaming Testing
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Parental leave
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