Data Engineer, Personalization

Spotify; New York (NY); Remote; USD 160,000 - 229,000; Full time

Job summary

Join a leading audio streaming service as a Data Engineer, Personalization. Contribute to building a platform that enhances user experience through personalized recommendations. Work with large-scale data pipelines and collaborate in a dynamic team environment.

Benefits

Health Insurance

Parental Leave

401(k)

Meal Allowance

Paid Time Off

Holidays

Qualifications

• Experience with distributed data processing frameworks like Beam or Spark.
• Familiar with data modeling, access, and storage techniques.

Responsibilities

• Work with large-scale data pipelines using frameworks like Scio, BigQuery, and Apache Beam.
• Develop, deploy, and operate Java services impacting millions of users.

Skills

Data Modeling

Collaboration

Agile Methodologies

Tools

BigQuery

Google Cloud Platform

Apache Beam

Spark

Job description

Join us to apply for the Data Engineer, Personalization role at Spotify.

The Personalization (PZN) team aims to make deciding what to play next on Spotify easier and more enjoyable for every listener. We strive to understand the music, podcasts, and audiobooks world better than anyone else to provide personalized recommendations, keeping millions of users engaged daily. Our products include destinations like Home and Search, as well as playlists such as Made For You, Discover Weekly, and Daily Mix.

We are seeking a Data Engineer with backend experience to help build our platform that ingests, models, and materializes high-scale, event-driven user behavior data. This platform supports experimentation and production deployment, offering a unique opportunity to shape Spotify's recommendation engine. You will grow your engineering skills at scale, contribute to our platform's vision, and join a dynamic, positive team environment.

What You'll Do

1. Work with large-scale data pipelines using frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam.
2. Develop, deploy, and operate Java services impacting millions of users.
3. Support machine learning projects to personalize user experience.
4. Collaborate with engineers, product managers, and stakeholders, embracing learning and leadership opportunities.
5. Deliver scalable, testable, maintainable, and high-quality code.
6. Share knowledge, promote best practices, and mentor team members to foster excellence.

Who You Are

1. Familiar with data modeling, access, and storage techniques.
2. Experienced with distributed data processing frameworks like Beam or Spark.
3. Enjoy working in an agile, data-driven, and experimental environment.
4. Value collaboration and teamwork.

Where You'll Be

1. Flexible work location within North America, aligned with team collaboration hours in the Eastern Standard time zone.

The U.S. base salary range for this position is $160,091 - $228,702 plus equity. Benefits include health insurance, parental leave, 401(k), meal allowance, paid time off, and holidays. Compensation ranges may be updated in the future.

Spotify is committed to diversity and inclusion. We welcome applicants from all backgrounds and provide accommodations during the recruitment process upon request.

Founded in 2008, Spotify has transformed music streaming by connecting artists and fans worldwide, driven by our passion for music and podcasting. We are the leading audio streaming service globally.

Additional Details

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Data Engineering