Senior Data Engineer - Personalization

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!

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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. 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.
The ProgRes squad is looking for a strong Data Engineer with backend experience who can help us build solutions to limit the spread of misinformation, reduce algorithmic bias and ensure fair representation across our recommendations products. Teams across the Personalization team depend on ProgRes tools to make sure that we recommend safe and high-quality content to our users.
Our team hosts services that provide recommendation systems with near real-time updates of blocked or harmful talk audio content. We work heavily with GCP products that include dataflow, bigtable, and bigquery. Some notable systems that we own include the recommendations filtering service (rf-v2) and the Recommendation Eligibility for Talk Audio (RETA) dataset.
We are a diverse team filled with people who are passionate about algorithmic responsibility and the safety of Spotify’s recommendation systems, who also love to have fun. Come join the tribe!

What You'll Do

  • Build large-scale batch data pipelines with frameworks such as Scio, Storm, or Spark, 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 within a multi-functional agile team to continuously experiment, iterate, and deliver on new product objectives.
  • Be a technical leader on the ProgRes team and within Spotify in general.
  • Facilitate and drive collaboration with engineers, product managers, and partners to solve exciting data problems critical to the safety of our listeners.
  • Share knowledge, promote best practices, and generally make 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 framework such as Beam, Crunch, Scalding, Storm, Spark, or another SQL-like abstraction.
  • You have a deep understanding of data modeling, access, and storage, as well as caching, replication, and optimization techniques.
  • You have 5+ years of experience in designing and building distributed, high volume services in JavaYou have worked in a cloud-native (GCP preferred) development and production environment where all CI/CD take place.
  • You care about agile software processes, data development, reliability, and responsible experimentation.
  • You understand the value of collaboration within teams.
  • You are comfortable with communication, being able to work independently while always sharing context with your team members.

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 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 instead? 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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.

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

Tags: Agile BigQuery Bigtable 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:  3  0  0
Category: Engineering Jobs

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