2026 Summer Internship, Engineering & Data Science (New York City)

Spotify•New York, NY

13h•Onsite

About The Position

Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 weeks this summer and start in mid-June. Are you passionate about all things Software Engineering and/or Data Science ? So are we! We’re looking for interns to work on a wide range of domains, such as Backend, Web/Frontend, Full Stack, C++, Data, Mobile (iOS/Android) and Data Science. Opportunities span across a variety of teams - delivering the best tech architecture, or the most wonderful user experience. As an Engineering Intern in one of these domains, you will help build various systems that power our application, scale highly distributed systems, and continuously improve our engineering practices. Above all, your work will impact the way the world experiences audio! As a Data Science Intern , you will help turn terabytes of data into insights and get a deep understanding of music and listeners so that we can impact the strategy and direction of Spotify. You will study user behaviour, critical initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will affect the way the world experiences audio. This application represents multiple positions. When applying, please let us know which domain you’d have a preference for.

Requirements

You are pursuing a Bachelor’s degree, Master's degree or a bootcamp certification in Computer Science or Computer Engineering or a related field of study.
You have previous coding experience, especially Java, Python, C++, TypeScript, Scala, Swift or Kotlin.
You are curious about domain and tech stack, and willing to work in a distributed team.
You’ll have some knowledge of distributed systems, and be passionate about pairing programming practices and agile technologies.
You have strong analytical and problem-solving skills.
You are pursuing a degree a Bachelor’s degree, Master’s degree or bootcamp certification in Statistics, Mathematics, Computer Science, Engineering, Economics, or another similar quantitative subject area.
You have strong interpersonal skills and comfort working with stakeholders across disciplines.
You are passionate for numbers and the use of data to make decisions.
You have experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
You have familiarity with A/B testing methodologies.
You have some experience of working with tools such as Python, R, SQL, as well as experience with data visualization tooling (Data Studio, Tableau, etc.).
You have a graduation year date of 2026 or 2027.
You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2026.
You are available from June 15th to August 21st, 2026 to participate in the summer internship.

Responsibilities

Learn and interact with cross functional teams to tackle exciting and challenging problems for delivering various media worldwide.
Be a member of the Spotify-wide developer community affecting and driving our architecture across the company
Help the team plan, design, and shape responsive solutions.
Work in an environment that supports your individual learning and growth.
Perform analyses on large sets of data to extract practical insights on the user experience that will help drive decisions across the business.
Build dashboards, data pipelines, and recurring reporting results, empowering creative growth and business decision making.
Communicate data-driven insights and recommendations to key collaborators
Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success.
Be a member of the Spotify-wide data-science community.