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 Data Engineer to join their Advertising Product & Technology team. This role is crucial in building their next-generation advertising platform, focusing on audio and video experiences for hundreds of millions of fans and advertisers. The position sits within the Ads reporting team, where you'll be responsible for creating scalable, reliable data systems that power their advertising ecosystem.

The role combines technical expertise in data engineering with business impact, as you'll be working on systems that directly affect Spotify's advertising capabilities and user experience. You'll be handling large-scale data pipelines, both batch and real-time, while working with modern technologies including distributed systems, cloud platforms, and various data processing frameworks.

This is an excellent opportunity for a data engineer who wants to work at scale, with cutting-edge technologies, in a company that values innovation and creative problem-solving. You'll be part of a team that emphasizes rapid iteration and execution, while maintaining high standards for code quality and system reliability. The position offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within the North American region.

Working at Spotify means joining a diverse, inclusive workplace that's revolutionizing the audio streaming industry. You'll have the chance to impact how millions of users experience advertising while working alongside talented professionals who are passionate about technology and music. The company offers excellent growth opportunities, a collaborative environment, and the chance to be part of a mission to unlock human creativity through audio content.

Data Engineer position at Spotify, building scalable data systems for advertising platform, offering $125K-$179K, remote work, and comprehensive benefits.

Data Engineer

World's most popular audio streaming subscription service, launched in 2008.

Spotify, the world's leading audio streaming platform, is seeking a Senior Full Stack Engineer to join their Advertising Product & Technology team. This role sits within the Disco squad in the Ads R&D Team, working at the intersection of advertising and user experience to connect millions of brands to billions of fans. The position offers an opportunity to work on a next-generation advertising platform that handles massive scale, serving hundreds of millions of fans and hundreds of thousands of advertisers.

The role combines both technical expertise and leadership responsibilities, requiring proficiency in Java and TypeScript for end-to-end feature implementation. You'll be working in a flexible, remote environment within North American time zones, collaborating with global teams including those in Australian time zones. The position offers competitive compensation ranging from $160,091 to $228,702 plus equity, along with comprehensive benefits.

As a Senior Full Stack Engineer, you'll be responsible for designing and implementing features for the Spotify Ads Manager, partnering with product managers and stakeholders to scale services, and leading complex multi-team refactors. The ideal candidate should have 5+ years of experience, strong understanding of web & API development, and expertise in TypeScript design patterns and web architecture.

Spotify emphasizes inclusivity and diversity, welcoming candidates from all backgrounds. The company offers a supportive environment focused on personal growth, with opportunities to mentor others and contribute to best practices. This role is perfect for someone who thrives in a fast-paced, iterative environment and wants to make an impact on how millions of users experience audio advertising.

Senior Full Stack Engineer position at Spotify, working on advertising technology, offering $160k-$229k plus equity, remote work options, and comprehensive benefits.

Senior Full Stack Engineer

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

Spotify, the world's leading audio streaming platform, is seeking a Senior Data Engineer to join their S4A Product Area. This role is crucial in developing powerful tools that help artists and labels analyze their music performance on Spotify. As part of the CAMP team, you'll work on building and maintaining comprehensive music consumption datasets that provide valuable insights to artists.

The position involves working with hundreds of data pipelines that transform raw streaming data into meaningful aggregations, revealing patterns in listening behavior and audience engagement. You'll be using cutting-edge technologies like GCP, Scio, and distributed systems to handle large-scale data processing. The role combines technical expertise in data engineering with the opportunity to directly impact how artists understand and grow their audience.

Working in an agile environment, you'll collaborate with cross-functional teams including product managers, data scientists, and other engineers. The position offers the flexibility to work remotely within the North Americas region, with collaboration centered in the Eastern Standard time zone. This is an excellent opportunity for an experienced data engineer who wants to combine their technical skills with a passion for music and artist empowerment.

The role comes with competitive compensation including equity, comprehensive benefits, and Spotify's commitment to work-life balance. The company strongly values diversity and inclusion, welcoming candidates from all backgrounds to contribute to their mission of unlocking human creativity. If you're passionate about data engineering and want to help revolutionize how artists connect with their audiences through data-driven insights, this role offers an exciting opportunity to make a significant impact in the music industry.

Senior Data Engineer position at Spotify, building data pipelines and analytics tools to help artists understand and grow their audience on the platform.

Senior Data Engineer - Music

Spotify, the world's leading audio streaming platform, is seeking an experienced Mobile Engineer to join their User Platform team. This role presents an exciting opportunity to work on critical device analysis capabilities across the Android ecosystem, focusing on deep systems-level engineering and security solutions.

The position involves implementing sophisticated device identification solutions across various Android platforms including phones, tablets, Android TV, and Wear OS. You'll be working with cutting-edge security implementations, focusing on maximizing high-entropy device signals while maintaining robust defense against OS-level compromises.

As part of Spotify's engineering team, you'll collaborate with cross-functional teams, working across multiple technologies including C++, Kotlin, Java, and Scala. The role requires deep expertise in Android's internal architecture and security mechanisms, particularly in implementing root detection techniques and integrating with Google Play Services.

The position offers flexible working arrangements with a hybrid model, based in either London or Stockholm. You'll be part of a company that values diversity, inclusion, and innovation, working on technology that impacts millions of users worldwide. Spotify's mission to unlock human creativity and connect artists with fans makes this an exciting opportunity for engineers passionate about making a global impact in the music and audio streaming industry.

This role is perfect for someone who combines technical expertise with collaborative skills, has a passion for security and systems-level engineering, and wants to contribute to a platform that revolutionizes how the world listens to music and podcasts.

Senior Mobile Engineer role at Spotify focusing on Android platform security and device analysis, implementing sophisticated identification solutions and root detection techniques.

Mobile Engineer (Android / C++) - User Platform

Spotify, the world's leading audio streaming platform, is seeking a Senior Engineer to join their User Platform studio. This crucial role focuses on bootstrapping device and app integrity capabilities to protect applications and users from fraud and abuse. The position combines extensive cross-platform engineering with advanced security practices, forming the core of Spotify's defense against evolving threats.

The ideal candidate will be responsible for architecting cross-platform solutions, leading technical strategy, and mentoring team members while working with cutting-edge technology. This role offers the unique opportunity to impact millions of users' security while working with modern C++, mobile platforms, and data analysis tools.

Working at Spotify means joining a company that values diversity, inclusion, and innovation. The position offers flexibility in work location (UK, Sweden, or other EMEA locations) with a hybrid work model. You'll be part of a company that has revolutionized how the world listens to music and podcasts, working alongside passionate professionals dedicated to unlocking human creativity.

The role combines technical leadership with hands-on development, requiring expertise in systems architecture, cross-platform development, and security practices. You'll collaborate with teams across Spotify and external platforms like Apple and Google, making this an excellent opportunity for someone who enjoys both technical challenges and cross-functional collaboration.

Senior Engineer position at Spotify focusing on cross-platform development and security, combining C++, Java, and mobile expertise to protect users from fraud and abuse.

Senior Engineer (C++ / Java / Mobile) - User Platform

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.

Spotify Engineering Jobs

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