Senior Data Engineer - Messaging Platform

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!

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The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
We are looking for a passionate Senior Data Engineer to help us define messaging at Spotify. You’ll be working on the messaging platform Spotify uses to communicate with our customers via email, push notifications and in-app messaging. This platform is a core component of Spotify’s growth strategy, responsible for messaging hundreds of millions of users every day and driving many key business metrics like engagement, premium subscriptions and content streams. You will be designing, building and maintaining a diverse range of different data jobs, including data jobs to schedule and target messages, real-time analytics of different key metrics and feature sets for ML models.

What You'll Do:

  • Design and build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and BigQuery.
  • Help drive optimization , testing and tooling to improve data quality.
  • Mentor and coach other engineers on data engineering best practices.
  • Create, update and evangelize standards and documentation that improve the experience for people working with data at Spotify.
  • Collaborate with other data, backend and ML engineers, data scientists, managers and stakeholders.
  • Be a valued member of a multi-functional agile team which continuously experiments, iterates, and delivers on new product objectives.

Who You Are:

  • You have a strong understanding of data systems.
  • You are knowledgeable and passionate about improving and building data platforms.
  • You have experience with Backend engineering or an interest in developing those skills.
  • You are familiar with current engineering practices such as distributed architecture.
  • You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark.
  • You will have experience working with Scala and Java, Scio & Luigi would be an encouraged bonus.
  • You are curious about new technologies and finding uses and insights for all types of data.
  • You have the desire and ability to contribute across different disciplines.

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
  • We ask that our team members be located within Central Standard time zone, Eastern Standard time zone, or Brasília time zone for the purposes of our collaboration hours 
  • 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.
 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture BigQuery Dataflow Data pipelines Data quality Engineering Machine Learning ML models Pipelines R R&D Research Scala Spark Streaming Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  4  0  0
Category: Engineering Jobs

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