Data Engineer, Concerts & Ticketing

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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We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.
We are looking for a Data Engineer to build and drive Data engineering initiatives within the team. In this role, you will be instrumental in streamlining large amounts of ingested partner data to uncover valuable insights but also setting standards along the way. You will help us to create a user-first ad experience that's personalized and relevant, so we can grow to billions of fans, increasing engagement with our listeners and providing better value to our advertisers. Above all, your work will impact the way the world experiences music.

What you'll do

  • Build large-scale batch data pipelines with data processing frameworks such as Scio and the Google Cloud Platform.
  • Improve current data pipelines and decrease ingestion times across all possible areas
  • Immerse yourself in Scala/Python engineering for better data visibility and unearth viable channels for improvement
  • Become proficient in Scio & Luigi (if not already)
  • Collaborate and connect with our team of engineers to ensure all data pipelines are robust and reliable across backend, frontend and machine learning etc
  • Architect and standardize data for optimal backend and analytical needs

Who you are

  • You love Data Engineering
  • You are knowledgeable and passionate about improving and building new distributed data pipelines
  • You are familiar with current engineering practices such as distributed architecture.
  • You are curious about new technologies and finding uses and insights for all types of data
  • You will have experience working on and building distributed data pipelines that ingest huge amounts of data across multiple sources and brands (concerts, ticketing, user & events)
  • You will have experience working with Scala and Python, Scio & Luigi would be an encouraged bonus

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
  • 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
#remote
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: Data pipelines Engineering GCP Google Cloud Machine Learning Pipelines Python Scala Streaming

Perks/benefits: Career development Team events

Region: North America
Country: United States
Job stats:  15  0  0
Category: Engineering Jobs

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