Backend Engineer – Personalization

Spotify

Data Engineer joining Spotify's Personalization team to build backend infrastructure and data pipelines. Collaborate on machine learning projects and deliver high-quality code for user recommendations.

Posted 6/8/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $132,948 - $189,927 per yearWebsite

Tech Stack

Tools & technologies

ApacheBigQueryCloudGoogle Cloud PlatformJava

About the role

Key responsibilities & impact

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
support machine learning projects powering personalized experiences
collaborate with engineers, product managers, and stakeholders
deliver scalable, testable, maintainable, and high-quality code
share knowledge and promote best practices through mentorship

Requirements

What you’ll need

experience building and operating large-scale backend systems and data pipelines in production environments
proficient in Java and have experience developing, deploying, and supporting services that serve large numbers of users
hands-on experience with modern data processing frameworks and cloud technologies such as Apache Beam, Scio, BigQuery, or similar large-scale data platforms
comfortable working with data-intensive systems and building infrastructure that supports machine learning and personalized user experiences
care deeply about software engineering best practices and strive to deliver high-quality, well-tested, and maintainable code
curious about emerging technologies and excited to work at the intersection of large-scale data processing, backend engineering, and machine learning

Benefits

Comp & perks

health insurance
six month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays
paid sick leave

ATS Keywords

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Hard Skills & Tools

Javadata processing frameworksApache BeamScioBigQuerymachine learningbackend systemsdata pipelineshigh-quality codesoftware engineering best practices

Soft Skills

collaborationmentorshipcommunicationcuriosity