Data Engineer - Personalization

Spotify; Boston (MA); Remote; USD 125,000 - 180,000; Full time

Job summary

Spotify is seeking Data Engineers to join their Personalization team in Boston. You'll be involved in building data pipelines, developing Java services, and supporting machine learning projects, contributing to millions of users' experiences. This role offers opportunities for skill growth in a flexible team environment.

Benefits

Health insurance

Six month paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Qualifications

• Familiarity with data processing frameworks like Beam and Spark.
• Desire to work on agile software development teams.

Responsibilities

• Work with large-scale data pipelines and data processing frameworks.
• Develop, deploy, and operate Java services impacting millions of users.
• Collaborate with engineers and stakeholders.

Skills

Data modeling

Data access

Data storage techniques

Distributed data processing frameworks

Agile software development

Collaborative teamwork

Job description

Get AI-powered advice on this job and more exclusive features.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

We are looking for Data Engineers to join our teams across PZN. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment!

What You'll Do

• Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam.
• Develop, deploy, and operate Java services that impact millions of users.
• Work towards supporting machine learning projects powering the experience that suits each user individually.
• Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day.
• Deliver scalable, testable, maintainable, and high-quality code.
• Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
  
  

Who You Are

• You are familiar with the concepts of data modeling, data access, and data storage techniques.
• You are familiar with distributed data processing frameworks (ex: Beam, Spark).
• You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation.
• You value opportunities to work collaboratively.
  
  

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration.
  
  

The United States base range for this position is $125,562 - $179,374 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. These ranges may be modified in the future.

Today, we are the world’s most popular audio streaming subscription service.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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