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Spotify Data Jobs (NOW HIRING)

Spotify

Legal Counsel - Platform Liability

New York, NY · On-site

$170.37K - $243.38K/yr

Spotify's Legal team is growing. We're facing innovative challenges that mirror the ground-breaking ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Spotify

Full Stack Engineer - Advertising

New York, NY · On-site

$132.95K - $189.93K/yr

Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. Our team is responsible for maintaining our Ads API and primary data store: if you're passionate about data availability ...

Spotify

Legal Counsel - Platform Liability

New York, NY · On-site

$170.37K - $243.38K/yr

Spotify's Legal team is growing. We're facing innovative challenges that mirror the ground-breaking ... If you would like more information about how your data is processed, please contact us. Find our AI ...

Spotify

Frontend Engineer - Music

Manhattan, NY

$133K - $190K/yr

Spotify Rights Center Web Application Developer The Rights Systems team builds and operates Spotify ... Integrate frontend systems with multiple backend services to support scalable and reliable data ...

Spotify

Machine Learning Engineer - Personalization

$117.20K - $140.70K/yr

... data-driven development, reliability, and disciplined experimentation. Company : Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels ...

Spotify

Backend Engineer, Oasis, Music

... data engineers to improve signal quality and system performance • Contribute to system design decisions that impact a critical part of Spotify's discovery ecosystem • Improve reliability ...

Spotify

Backend Engineer, Podcast

New York, NY · On-site

$132.95K - $189.93K/yr

We build and maintain products like Spotify for Podcasters, Megaphone, and Chartable, and are ... If you would like more information about how your data is processed, please contact us. Find our AI ...

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How much do spotify data jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for spotify data in the United States is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What is a Spotify Data job?

A Spotify Data job typically involves working with data related to user behavior, music trends, and platform performance. Professionals in these roles analyze large datasets to generate insights that improve recommendations, enhance user experience, and optimize business strategies. Common positions include Data Analyst, Data Scientist, and Machine Learning Engineer, requiring skills in SQL, Python, statistics, and data visualization.

What are the key skills and qualifications needed to thrive in the Spotify Data position, and why are they important?

To thrive in a Spotify Data role, you need strong analytical abilities, proficiency in statistics, and a solid background in computer science or a related field, usually supported by a relevant bachelor's or master's degree. Experience with SQL, Python or R, data visualization tools (such as Tableau), and familiarity with cloud platforms like AWS or Google Cloud are highly valued, along with certifications in data analytics or engineering. Excellent communication, problem-solving skills, and a collaborative mindset help you work effectively across multidisciplinary teams. These competencies are crucial because they enable you to extract meaningful insights from complex datasets that drive strategic business and product decisions at Spotify.

What types of projects and collaboration can I expect in a Spotify Data role?

As a Spotify Data professional, you can expect to work on projects ranging from user behavior analysis and recommendation system optimization to performance reporting and A/B testing new features. You’ll regularly collaborate with product managers, engineers, designers, and marketing teams to translate business questions into actionable data insights. Your daily tasks often involve querying large datasets, building data pipelines, and presenting your findings to both technical and non-technical stakeholders. The collaborative, fast-paced environment at Spotify offers numerous opportunities for career growth, as you gain exposure to cutting-edge technologies and cross-functional projects.
More about Spotify Data jobs
What cities are hiring for Spotify Data jobs? Cities with the most Spotify Data job openings:
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Spotify Data jobs near you
Infographic showing various Spotify Data job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Machine Learning Engineer - Personalization

Spotify

New York, NY • On-site

$170K - $212K/yr

Other

Medical, Retirement, PTO

Posted 2 days ago

Job description

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.

Our team's mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns.

What You'll Do

  • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.

  • Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.

  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.

Who You Are

  • You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.

  • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.

  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.

  • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.

  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the North America 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 $170,000 - $212,000 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, paid sick leave. These ranges may be modified in the future.

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.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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