Data Engineer Jobs at Spotify with Visa Sponsorship
Spotify hires Data Engineers to build and maintain the pipelines, data models, and infrastructure that power music recommendations and creator analytics at global scale. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target if you're navigating the H-1B or green card process.
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Get Access To All JobsINTRODUCTION
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.
ROLE AND RESPONSIBILITIES
You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.
What You'll Do:
- Design and implement machine learning systems for ad performance optimization.
- Research and apply ML optimization strategies to balance multiple objectives effectively.
- Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
- Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.
BASIC QUALIFICATIONS
Who You Are:
- You have professional experience in applied machine learning.
- You have strong technical expertise in software engineering, data analysis, and machine learning.
- You are proficient in programming languages such as Python, Java, or Scala.
- Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle.
- You have expertise in developing data pipelines using tools like Apache Beam or Spark.
- As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.
LOCATION
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location. This team operates within the U.S. Eastern time zone for collaboration.
COMPENSATION
The United States base range for this position is $184,050.00 - $262,928.00, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
INTRODUCTION
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. We are seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.
ROLE AND RESPONSIBILITIES
You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.
What You'll Do:
- Design and implement machine learning systems for ad performance optimization.
- Research and apply ML optimization strategies to balance multiple objectives effectively.
- Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
- Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.
BASIC QUALIFICATIONS
Who You Are:
- You have professional experience in applied machine learning.
- You have strong technical expertise in software engineering, data analysis, and machine learning.
- You are proficient in programming languages such as Python, Java, or Scala.
- Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle.
- You have expertise in developing data pipelines using tools like Apache Beam or Spark.
- As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.
LOCATION
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location. This team operates within the U.S. Eastern time zone for collaboration.
COMPENSATION
The United States base range for this position is $184,050.00 - $262,928.00, 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. 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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Spotify Jobs
Frame your portfolio around streaming data systems
Spotify's Data Engineering roles center on real-time event pipelines, recommendation systems, and large-scale batch processing. Projects that demonstrate experience with tools like Apache Beam, Kafka, or BigQuery signal direct relevance before your resume reaches a recruiter.
Target teams tied to core product functions
Spotify organizes engineering around product areas like Personalization, Podcast, and Creator tools. Applying to roles within these verticals, rather than generic platform teams, sharpens your fit signal and increases the chance your application lands with a hiring manager who owns a real headcount need.
Confirm your role qualifies as a specialty occupation
USCIS requires that H-1B positions meet the specialty occupation standard. For Data Engineer roles, this means the job description should explicitly require a bachelor's degree or higher in computer science, data engineering, or a closely related field, not just list it as preferred.
Register for the H-1B lottery before you have an offer
USCIS opens H-1B registration in March each year. If you're on OPT, coordinate your job search timeline so any offer from Spotify can be tied to an active registration. Missing the window means waiting a full year regardless of where your application stands.
Understand how Spotify's PERM sponsorship timeline affects your planning
Green Card sponsorship through EB-2 or EB-3 requires DOL PERM labor certification, which typically takes 12 to 18 months before USCIS even reviews your I-140. Raise the green card conversation during the offer stage, not after you've already started.
Use Migrate Mate to find open Data Engineer roles at Spotify
Filtering by visa sponsorship history saves time when you're on a tight status deadline. Migrate Mate surfaces active Data Engineer openings at Spotify alongside sponsorship context, so you're applying to roles where sponsorship is a realistic outcome, not guessing from the job description.
Data Engineer at Spotify jobs are hiring across the US. Find yours.
Find Data Engineer at Spotify JobsFrequently Asked Questions
Does Spotify sponsor H-1B visas for Data Engineers?
Yes, Spotify sponsors H-1B visas for Data Engineer roles. The company has a documented history of filing H-1B petitions for this function across multiple years. If you're on OPT or a previous H-1B, Spotify is a viable target, though sponsorship is role-specific and depends on headcount approval at the team level when you apply.
How do I apply for Data Engineer jobs at Spotify?
Applications go through Spotify's careers site, where roles are listed by team and location. You can also find active Data Engineer openings filtered by visa sponsorship track record on Migrate Mate, which helps narrow your search to roles where sponsorship has historically been supported. Tailoring your application to the specific product area the team serves improves your fit signal significantly.
Which visa types does Spotify use for Data Engineers?
H-1B is the primary nonimmigrant work visa for Data Engineer roles at Spotify. For longer-term sponsorship, Spotify supports EB-2 and EB-3 immigrant visa categories through the PERM labor certification process. The right path depends on your qualifications, country of birth, and how quickly you need work authorization, so it's worth understanding both tracks before you accept an offer.
What qualifications does Spotify expect for Data Engineer roles?
Spotify's Data Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, or a related technical field. Beyond the degree, they look for hands-on experience with distributed data systems, SQL and Python proficiency, and familiarity with cloud infrastructure. Roles tied to product areas like Personalization or Podcasts often expect domain knowledge in recommendation or content analytics pipelines.
How do I time my job search at Spotify around visa deadlines?
If you're on F-1 OPT, the H-1B cap-subject lottery runs in March for an October 1 start date. You'll want an offer and petition filed before your OPT expires to bridge the gap with a timely filed extension. If your OPT expires before October 1, your employer can request a cap-gap extension, but only if USCIS received your H-1B petition before the OPT end date.
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