World's most popular audio streaming subscription service, launched in 2008, focusing on music and podcasting.

Spotify, the world's leading audio streaming platform, is seeking a Senior Data Engineer to join their Advertising Product & Technology team. This role sits within the Audiences team, working on Rolodex, a critical system that powers targeting while respecting privacy. The position offers an exciting opportunity to work on next-generation advertising platforms that serve hundreds of millions of fans and hundreds of thousands of advertisers.

The role involves building and maintaining sophisticated data pipelines using cutting-edge technologies like Scio, GCP, BigQuery, and Dataflow. You'll be working on exciting projects including Contextual Targeting, Custom Website Audiences, and Artist Affinity audiences. The position requires collaboration with Machine Learning and Staff engineers to develop strategic products such as ML-driven 1st party Audiences and next-generation Lookalike Audiences.

As a Senior Data Engineer, you'll be responsible for architecting and developing key projects like Pre and Post Campaign Insights, while ensuring high standards of code quality, scalability, and reliability. The role offers competitive compensation ranging from $160,091 to $228,702 plus equity, along with comprehensive benefits including health insurance, six months of paid parental leave, and a 401(k) plan.

Spotify offers a flexible work environment within the North American region, with this team operating in the EST time zone. The company strongly values diversity and inclusion, welcoming candidates from all backgrounds to contribute to their mission of unlocking human creativity through music and podcasting. This is an excellent opportunity for an experienced data engineer looking to make a significant impact in the music streaming industry while working with cutting-edge technology and data systems.

Senior Data Engineer position at Spotify, working on next-generation advertising platforms and audience targeting systems, offering competitive salary and comprehensive benefits.

Senior Data Engineer

World's most popular audio streaming subscription service, transforming music listening since 2008.

Join Spotify's Personalization Team as a Senior Backend/Data Hybrid Engineer and help shape the future of music and podcast recommendations for hundreds of millions of users worldwide. As part of a diverse team spread across Boston, New York, Stockholm, and London, you'll be instrumental in building the systems that power Spotify's personalized experiences like "Home," "Search," "Discover Weekly," and "Daily Mix."

In this role, you'll combine backend engineering expertise with data engineering skills to create scalable solutions that drive Spotify's recommendation systems. You'll work with large-scale distributed systems and data pipelines, ensuring high availability and performance while implementing modern data engineering practices. Your work will directly impact how users discover and experience music on one of the world's largest streaming platforms.

The position offers a competitive base salary range of $125,300 - $179,000 plus equity, along with comprehensive benefits including health insurance, six months of paid parental leave, and a 401(k) plan. Spotify embraces a flexible work environment, allowing you to work remotely from anywhere in North America within their established work locations, with collaboration centered in the Eastern Standard time zone.

Spotify's culture strongly values diversity, inclusion, and innovation. You'll have opportunities to participate in hack days and bi-annual hack weeks, contributing to experimental projects and continuous learning. The company's mission to unlock human creativity by connecting artists with billions of fans provides a meaningful context for your technical work.

As a Senior Backend/Data Hybrid Engineer, you'll be at the intersection of data and systems engineering, working with cutting-edge technologies and collaborating with ML engineers to build robust, scalable solutions. Your expertise in both backend services and data engineering will be crucial in advancing Spotify's personalization capabilities and maintaining their position as a leader in music streaming technology.

Senior Backend/Data Engineer role at Spotify, building scalable systems for music recommendations, offering $125-179K salary, remote work, and comprehensive benefits.

Senior Backend/Data Hybrid Engineer - GenRecs - Personalization

Spotify, the world's leading audio streaming platform serving 600+ million Monthly Active Users, is seeking a Backend Engineer for their Data Quality and Observability team. This role is crucial in maintaining and developing the data platform that processes over 2 petabytes of data daily, supporting both users and 8,000+ employees worldwide.

The position offers an opportunity to work on innovative tools and scalable systems that ensure reliability and accuracy across Spotify's data platform. You'll be building backend services, optimizing pipelines, and supporting teams in delivering insights that directly impact how the world experiences audio. The role combines technical expertise with real-world impact, as your work will ensure features like Daylist remain current and functional for millions of users.

Working in a hybrid environment from Toronto, you'll join a culture that values innovation, iteration, and inclusivity. The role offers hands-on experience with cutting-edge technologies, including AI integrations for data quality, and the chance to collaborate with internal teams and open-source communities. Spotify provides a unique environment where engineers are empowered with autonomy to solve meaningful problems, participate in hack days, and contribute to a platform that revolutionizes how the world listens to audio.

The ideal candidate will have strong Java programming skills, systems design knowledge, and a passion for data quality and observability. Experience with technologies like Scala, Flyte, or Apache Iceberg is a plus, as is familiarity with data monitoring tools. This role offers the perfect blend of technical challenge and creative opportunity, making it ideal for engineers who want to impact millions of users while working with one of the most innovative companies in the audio streaming space.

Backend Engineer position at Spotify focusing on data platform development, quality, and observability, working with Java and data technologies in Toronto.

Backend Engineer - Data Platform

Spotify, the world's leading audio streaming platform, is seeking a Staff Backend Engineer to join their Home Personalization team. This role presents an exciting opportunity to shape the technical foundation of Spotify's Home page experience, working on critical systems that impact millions of users globally.

The position focuses on evolving core backend systems that power Spotify's Home page personalization, including Home Config and experimentation strategies. You'll be instrumental in redesigning legacy systems to meet modern needs, particularly in areas of gen recs, agents, and overall user experience enhancement. As a staff-level individual contributor, you'll have significant influence over Home loading paradigms, page serving, content filtering, and storage solutions.

The role demands a unique blend of technical expertise and leadership skills. You'll work closely with various teams including Experimentation Platform, Surface Insights, and CoreX, while building relationships with Staff+ engineers across different missions. Your responsibilities will range from creating sophisticated experimentation strategies to mentoring backend engineers and driving technical innovation.

Key technical aspects include working with machine learning models, experiment configurations, and statistical analysis. You'll need to be comfortable with concepts like confidence intervals, p-values, and various experiment setups. The position offers competitive compensation ($194,000 - $277,000 plus equity) and comprehensive benefits including health insurance, parental leave, and retirement plans.

This remote position allows flexibility within the North America region, operating in the EST time zone. Spotify emphasizes inclusivity and diversity, welcoming candidates from all backgrounds to contribute to their mission of unlocking human creativity through music and audio content. The role offers an unique opportunity to impact how millions of users experience music discovery and content personalization on one of the world's largest streaming platforms.

Staff Backend Engineer role at Spotify focusing on Home page personalization systems, experimentation strategies, and core backend architecture.

Staff Backend Engineer - Home Foundations - Personalization

Spotify, the world's leading audio streaming platform, is seeking a Machine Learning Engineer to join their Hendrix ML Platform team in Toronto. This role combines software engineering expertise with machine learning infrastructure development, making it an exciting opportunity for those passionate about building scalable ML systems.

The position focuses on developing and maintaining Spotify's company-wide platform for training and serving machine learning models. As part of the Hendrix ML Platform team, you'll be instrumental in streamlining the productionization of AI and ML models across Spotify's ecosystem. The role involves working with cutting-edge technologies and collaborating with various teams to build robust ML infrastructure.

The ideal candidate will bring 3+ years of hands-on experience in ML model productionization, along with strong knowledge of deep learning fundamentals and modern ML tools like Huggingface, PyTorch, and TensorFlow. You'll be working in a hybrid environment that offers flexibility while maintaining collaborative opportunities through in-person meetings.

This role offers the unique opportunity to impact how machine learning is deployed at scale within one of the world's most innovative tech companies. You'll be working on projects that directly influence how Spotify delivers personalized experiences to millions of users worldwide. The company's strong commitment to diversity, inclusion, and innovation makes it an ideal place for talented engineers looking to make a significant impact in the intersection of music, technology, and machine learning.

Spotify offers a collaborative culture where your voice matters, regardless of your background. The company's mission to unlock human creativity through music and audio content provides a meaningful context for your technical work. If you're passionate about building scalable ML infrastructure and want to be part of a company that's revolutionizing how the world listens to audio content, this role offers an excellent opportunity to grow and make a difference.

Machine Learning Engineer role at Spotify focusing on ML/AI Platform development, building and maintaining scalable ML infrastructure and tools.

Machine Learning Engineer - ML/AI Platform

Spotify, the world's leading audio streaming platform, is seeking a Mid-Level Backend Engineer to join their Core Infrastructure team. This role offers an exciting opportunity to work on the foundational infrastructure that powers Spotify's platform, serving over a billion customers. The position focuses on developing and optimizing scalable infrastructure services and tools, particularly within their cutting-edge declarative platform that manages 50K resources across 3,000+ Google Cloud projects.

The role combines technical expertise in cloud infrastructure, Kubernetes, and backend development with the chance to make a global impact. You'll be working with technologies like Golang, Java, and Python, while collaborating with cross-functional teams to build robust solutions. The position offers the flexibility of hybrid working from either London or Stockholm offices.

As part of Spotify's Platform mission, you'll be at the forefront of cloud infrastructure at scale, working on systems that enable engineering teams to deliver solutions quickly and efficiently. The role involves designing distributed systems, developing Kubernetes operators, and ensuring platform reliability through various technical implementations.

Spotify offers an inclusive workplace culture that values diversity and different perspectives. The company has transformed the music industry since 2008 and continues to innovate in the audio streaming space. This role presents an excellent opportunity for engineers passionate about infrastructure as code and complex problem-solving to contribute to a platform that impacts millions of creators and billions of fans worldwide.

The position includes participation in a well-supported on-call rotation and requires strong collaboration skills. You'll be working in an environment that encourages experimentation, continuous learning, and professional growth, while contributing to systems that power one of the world's most popular streaming services.

Mid-level Backend Engineer position at Spotify, focusing on Core Infrastructure development using Kubernetes, Go, Java, and Python in a hybrid work environment.

Backend Engineer - Core Infrastructure

Spotify, the world's leading audio streaming platform, is seeking a Senior Machine Learning Engineer to join their Home Next Formats team. This role is crucial in advancing Spotify's audiobook recommendations by creating engaging products that leverage both podcast and audiobook listening patterns. The position offers an exciting opportunity to work with cutting-edge technologies, including future implementations of LLMs and Generative Recommenders.

The role combines technical expertise in machine learning with practical application at scale, serving hundreds of millions of active users. You'll be working on complex real-world problems, implementing sophisticated ML solutions for personalization, and collaborating with cross-functional teams spanning research, design, data science, and product management.

As a Senior ML Engineer, you'll be responsible for designing and implementing end-to-end production ML systems, working with technologies like Python, Java, Scala, and frameworks such as PyTorch and TensorFlow. The position requires expertise in distributed computing and cloud platforms, making it perfect for those who enjoy working with big data and scalable solutions.

The compensation package is competitive, ranging from $176,166 to $251,666, plus equity and comprehensive benefits. Spotify offers an inclusive work environment, embracing diversity and providing reasonable accommodations for all employees. The company's mission of unlocking human creativity and connecting artists with fans makes this an exciting opportunity for those passionate about the intersection of technology and entertainment.

Senior Machine Learning Engineer position at Spotify, focusing on audiobook recommendations and personalization, offering competitive salary and benefits in Boston or New York.

Senior Machine Learning Engineer, Home Next Formats

The Personalization (PZN) team at Spotify is seeking an Associate Machine Learning Engineer to join their Next Generation Sessions (NextGen) product area. This role focuses on reimagining listening experiences beyond traditional playlists, working on cutting-edge projects like AI DJ, AI Playlist, Blend, and Jam. As part of a ~100-person team spread across multiple locations, you'll be at the forefront of AI-powered audio innovation, collaborating with senior engineers and researchers to bring new features from concept to launch. The position offers an excellent opportunity for early-career professionals passionate about AI and music to impact millions of users worldwide. The role involves working with state-of-the-art AI technologies, including LLMs and agent frameworks, while contributing to Spotify's mission of transforming how people experience audio content. Based in New York with a hybrid work arrangement, this position offers competitive compensation including equity and comprehensive benefits. The team culture emphasizes innovation, collaboration, and continuous learning, making it an ideal environment for someone eager to shape the future of audio technology.

Entry-level Machine Learning Engineering role at Spotify, focusing on AI-powered audio experiences and recommendation systems, offering $93K-$133K plus benefits.

Associate Machine Learning Engineer

Spotify's Financial Engineering team is seeking a Senior Data Engineer to join their Financial Data Platform team, focusing on building the foundation that powers Finance and enables strategic decision-making across the company. This role combines technical expertise with financial domain knowledge to create trusted financial abstractions and manage complex data systems.

The position offers an opportunity to work on critical financial data infrastructure, processing billions of records and creating core datasets representing key financial domains like Premium, Ads, and Royalties. You'll be part of a team that turns messy, fragmented realities into clean, reusable foundations, building libraries and tools that empower others to produce and trust financial data at scale.

As a Senior Data Engineer, you'll work with cutting-edge technologies in cloud computing and data processing, particularly with Google Cloud Platform and BigQuery. The role requires expertise in JVM-based frameworks such as Flink, Beam, Dataflow, or Spark, combined with strong SQL skills and data modeling capabilities.

The position offers a hybrid work arrangement based in London, providing flexibility while maintaining opportunities for in-person collaboration. You'll work in an inclusive environment that values diverse perspectives and backgrounds, contributing to Spotify's mission of unlocking human creativity through music and audio content.

This role is perfect for someone who enjoys building foundational systems with broad impact, has a product mindset toward data engineering, and wants to work where financial data directly drives company strategy. You'll collaborate with various teams across engineering, data science, finance, and business functions, making this an excellent opportunity for those who thrive in cross-functional environments.

Senior Data Engineer position at Spotify, building financial data platforms and processing systems in London, with hybrid work arrangement.

Senior Data Engineer - Financial Data Platform

Global music and audio streaming platform pioneering digital music distribution

Spotify is seeking a Customer Success Engineer II to join their Backstage team, focusing on driving developer portal philosophy among leading tech companies. This role represents a unique opportunity to blend technical expertise with customer success in a high-growth environment.

The position combines hands-on technical work with strategic customer relationship management, requiring expertise in modern web development technologies like React, TypeScript, and Node.js. As a Customer Success Engineer, you'll be responsible for building and maintaining relationships with mid-market customers while contributing to the development of Spotify's Backstage platform.

The role offers an exciting chance to work in a startup-like environment within a major tech company, collaborating with cross-functional teams including engineers, marketers, business developers, and product managers. You'll be instrumental in driving customer success, implementing solutions, and contributing to both the commercial and open-source aspects of Backstage.

Key responsibilities include customer relationship management, technical implementation, feature development, and serving as a bridge between customers and internal teams. The position offers competitive compensation ($125,562-179,374 plus equity) and comprehensive benefits, including health insurance, parental leave, and flexible work arrangements.

This is an ideal opportunity for someone who combines technical proficiency with strong interpersonal skills and has a passion for developer productivity and infrastructure. The role offers the flexibility of remote work while being based in New York City, providing the perfect balance of collaboration and independence.

Customer Success Engineer role at Spotify focusing on Backstage platform, combining technical expertise with customer relationship management.

Customer Success Engineer II - Backstage

Spotify, the world's leading audio streaming platform, is seeking a Junior Machine Learning Engineer to join their Subscriptions R&D team. This role focuses on building robust and scalable machine learning solutions that personalize activation, retention, and conversion funnels to improve key business metrics. The position offers an exciting opportunity to work on cutting-edge ML projects, including GenAI initiatives, while collaborating with a diverse, multi-functional team.

The role is perfect for someone passionate about applying ML to real-world problems at scale, as you'll be working on systems that impact hundreds of millions of active users. You'll be part of the Machine Learning product area in the Activation, Retention, Conversion studio, where you'll help optimize user journeys and messaging platforms to connect users with valuable audio content.

Working at Spotify means joining a company that values diversity and inclusion, offering a flexible hybrid work environment with a balance of remote and office work. The company provides a unique opportunity to work on projects that directly impact how the world experiences music and audio content. You'll be part of a team that's revolutionizing the audio industry while working with cutting-edge ML technologies and frameworks.

The position offers hands-on experience with modern ML tools and technologies, including Python, TensorFlow, and cloud platforms. You'll be involved in the entire ML lifecycle, from prototyping to production, while working alongside experienced professionals who can help accelerate your growth in the field. If you're passionate about machine learning, user experience, and want to make an impact at a global scale, this role at Spotify could be your next career milestone.

Junior Machine Learning Engineer position at Spotify, focusing on building ML solutions for user journey optimization and GenAI initiatives, requiring 2+ years of ML engineering experience.

Spotify Engineering Jobs

World's most popular audio streaming subscription service, launched in 2008, focusing on music and podcasting.