Senior Data Engineer

New York, NY

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 become a part of Creator Studio team, building the most powerful tools available to allow artists & labels to grow their audience by targeting the right listeners with the most effective music native visual formats with our core promotional products. Artist marketing teams want to deliver their artists' music into the ears of existing and potential fans. We enable artist and label teams 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.
  • Collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams.
  • Work with Product to conceptualize and implement new ways of understanding the interplay between user happiness, track performance, and artist needs.
  • Leverage the most efficient practices in continuous integration and delivery.
  • Help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs.
  • Help drive optimization, testing, and tooling to improve data quality.
  • Collaborate with other engineers, product managers, specialists, and stakeholders, taking learning and leadership opportunities that will arise every single day.
  • Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.

Who You Are

  • You have professional experience working in a product-driven environment.
  • You have worked with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or 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 advocate for agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
  • You understand the value of collaboration and coordination across teams.
  • You are committed to 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 our Work From Anywhere options here
  • Working hours? We operate within the Eastern Standard time zone for collaboration

Our Global Benefits

  • Extensive learning opportunities, through our dedicated team, GreenHouse.
  • Flexible share incentives letting you choose how you share in our success.
  • Global parental leave, six months off - fully paid - for all new parents.
  • All The Feels, our employee assistance program and self-care hub.
  • Flexible public holidays, swap days off according to your values and beliefs.

The United States base range for this position is s $178,600 -$223,250, 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, paid sick leave. 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.

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