Data Engineer - Platform Mission (Remote Eligible - Americas)

New York, NY

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!

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The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for a Data Engineer to join a team within the Platform organization whose mission is to improve the user experience for dataset producers and consumers through the development, implementation, and promotion of "Golden Dataset" data quality standards. Golden Datasets are key foundational datasets that support important Spotify features and are critical for our business. It is a new and exciting program where you will get the chance to work with experienced data engineers across Spotify, driving improvements in data quality at the source.

What you'll do:

  • Work with teams across Spotify, providing them with hands-on support to improve the quality of their data
  • Help shape and define best practices for data production and consumption in areas such as data modeling, integrity controls, documentation, and interface stability, versioning and change management
  • Initiate and drive improvements through company-wide programs and certification processes related to code and data quality
  • Help map the landscape of Spotify data entities, focusing on foundational datasets that support critical features, leading to a well-established catalog of entities and improving the overall quality of their data

Who you are:

  • You have strong coding skills, preferably in Scala, Python, and Java
  • You have experience with JVM-based data processing frameworks such as Beam and Spark
  • You are knowledgeable about data modeling, data access, and data storage techniques and are passionate about evangelizing their best practices
  • Value building strong relationships with colleagues and multiple partners
  • You are able to adapt quickly to different teams and environments, being able to switch context quickly while maintaining productivity and effectiveness
  • Care deeply about code and data quality and voicing support for standard methodologies

Where you'll be:

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
  • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.
  • 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.
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 with a community of more than 345 million users.

Tags: Python Scala Spark Streaming

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  30  4  0
Category: Engineering Jobs

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