Data Engineer - Personalization

Spotify; New York (NY); Remote; USD 125,000 - 180,000; Full time

Job summary

Join Spotify's Personalization (PZN) team as a Data Engineer and enhance how millions enjoy music and podcasts. You will develop large-scale data pipelines and collaborate on machine learning projects, while enjoying flexible working options and numerous benefits including health insurance, generous parental leave, and a retirement plan.

Benefits

Health insurance

Paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 flexible holidays

Qualifications

• Familiar with data modeling and storage techniques.
• Experienced in distributed processing frameworks like Beam or Spark.
• Strong collaborative team player with an agile mindset.

Responsibilities

• Work with large-scale data pipelines and frameworks.
• Develop, deploy, and maintain Java services impacting users.
• Support machine learning initiatives to enhance user experiences.

Skills

Data modeling

Distributed data processing

Agile software development

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Scio

BigQuery

Google Cloud Platform

Apache Beam

Java

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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