Data Engineer - Personalization (Remote Eligible - Americas)

Boston, MA

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!

View company page

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
Spotify is looking for a Data Engineer to join the team! You will build data driven solutions to bring music and digital media experiences to hundreds of millions of active users and millions of creators by matching fans with creators in a personal and relevant way. You will take on complex data-related problems using some of the most diverse datasets available — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences art.

What You'll Do:

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scalding, Scio, Storm, Spark and the Google Cloud Platform.
  • Use best practices in continuous integration and delivery.
  • Help drive optimization, testing and tooling to improve data quality.
  • Collaborate with other software engineers, ML experts and stakeholders, taking learning and leadership opportunities that will arise every single day.
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives!

Who You Are:

  • 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, high-volume services in Java or Scala.
  • You are knowledgeable about data modeling, data access, and data storage techniques.
  • You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
  • You understand the value of partnership within teams.
  • We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music. 

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

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  34  4  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.