Experienced Data Engineer - Creator Studio

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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Spotify is reimagining the creator and consumer experience, partnering with artists, labels and publishers to help them better understand and reach their fans. Join us in Marketplace, the center of Spotify’s mission to give artists the opportunity to find and increase their fan bases on the platform. Along with developing Spotify-native promotional tools, we're working with our broader organization to create sustainable commercial models to help artists thrive. 
We are looking for experienced Data Engineers to join us in the Creator Studio team building artist-facing tools to support our core promotional products. Artist marketing teams want to deliver their artists' music into the ears of existing and potential fans. We build the tools enabling them to create, monitor, analyze and report on promotional campaigns. We also capture valuable insights to help continually improve our products.

What You'll Do

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
  • Work with Product to conceptualize and implement new ways of understanding the interplay between user satisfaction, track performance and artist needs.
  • Leverage best practices in continuous integration and delivery.
  • Help drive optimization, testing and tooling to improve data quality.
  • Collaborate with other engineers, product managers, experts and stakeholders, 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.

Who You Are

  • You have at least 3+ years of professional experience working in a product-driven environment.
  • You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra.
  • You know how to write distributed data pipelines in Java or Scala.
  • You are knowledgeable about data modeling, data access, and data storage techniques.
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation.
  • You understand the value of collaboration within teams.
  • You care about making your team the best version of itself through mentorship and constructive accountability.

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 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 with a community of more than 345 million users.

Tags: Agile Bigtable Cassandra Data pipelines Distributed Systems GCP Google Cloud Hadoop Pipelines Scala Spark Streaming Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  8  0  0
Category: Engineering Jobs

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