Data Engineer - Personalization

New York City

Full Time Senior-level / Expert USD 76K - 150K *
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Spotify

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The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend 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. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Spotify is looking for a Data Engineer to join the team! You will build data driven solutions to bring music and media experiences to hundreds of millions of users and creators by matching fans with creators in a personal and relevant way. You will seek sophisticated data problems using some of the most diverse datasets — user behaviors, acoustical analysis, revenue streams, cultural and contextual data, and other signals across a range of mobile and connected platforms. Above all, your work will change the way the world experiences art!

What You'll Do

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Flume, and the Google Cloud Platform.
  • Deliver scalable, testable, maintainable, and high-quality code.
  • Demonstrate standard methodologies in continuous integration and delivery.
  • Help drive optimization, testing and tooling to improve data quality.
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
  • Be a technical leader within the team you work with and within Spotify in general.
  • Facilitate and drive collaboration with engineers, product managers and partners to seek exciting and results-oriented user-centric data problems.
  • Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.

Who You Are

  • You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, and Cassandra. Ideally you have also built innovative solutions that address current limitations of these technologies.
  • You have used one or more high-level JVM-based processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractions.
  • You have proven understanding about data modeling, data access, and data storage, caching, replication, and optimization techniques.
  • You have worked in a cloud-native (GCP preferred) development and production environment where all CI/CD take placeYou care about agile software processes, data development, reliability, and responsible experimentation.
  • You understand the value of collaboration within teams.
  • You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
  • You care about shipping product, agile software processes, reliability, and focused but fast experimentationYou love your customers even more than your code

Where You'll Be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them! This team contains a mix of members who work in the NYC office, the Boston office, and remote from home or coworking locations.
  • Where in the world? For this role, it can be within the Americas or European regions in which we have a work location and is within working hours.
  • Working hours? We operate between the Eastern and Central European time zones for collaboration.
  • Prefer an office to work from home? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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 salary survey at salaries.ai-jobs.net

Tags: Agile BigQuery Cassandra CI/CD Dataflow Data pipelines Distributed Systems GCP Google Cloud Hadoop Pipelines Spark SQL Streaming Testing

Perks/benefits: Equity

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