Software Engineering, Intern, Server, Data Platform

Strava•San Francisco, CA

10d•Hybrid

About The Position

Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. As an Engineering Intern at Strava, you will be embedded in a team working on real projects that ship to our athletes and within the company, treated like a full-time member of the engineering team. You'll collaborate with cross functional teams that help us support and deliver to our athletes faster, while keeping them inspired and motivated. We’ll give you experienced mentors and all the tools you need to make a meaningful impact on our product. To see examples of what past interns have contributed, read our Engineering Blog! Strava is looking for software engineering interns for a range of disciplines. This Server internship would be on the Data Platform team. The data platform team is responsible for infrastructure that enable teams throughout Strava to access, analyze, and act on data reliably and efficiently. The team's focus is creating scalable, robust services and tooling that empower others to build their own analytics and data products without worrying about the underlying complexity. We follow a hybrid model that translates to more than half of your time on-site in our San Francisco office — four days per week.

Requirements

Are currently pursuing a Bachelor’s degree in Computer Science or a related field, with an expected graduation date of May 2026, December 2026, or May 2027 — OR– have recently completed or are currently enrolled in a coding bootcamp, technical training program, or are transitioning into software engineering through equivalent practical experience.
You write clean, well-tested code and are receptive to feedback and mentorship.
You have experience writing code in one or more programming languages (e.g., Python, Java, Go, or similar) and demonstrate strong fundamentals in coding best practices, documentation, and testing.
You are comfortable working with SQL and are curious about how data transformations and pipelines operate in production environments.
You have exposure to data or cloud technologies through coursework, internships, or personal projects (e.g., AWS/GCP/Azure, Spark, Airflow, Snowflake, BigQuery, or similar tools).
You are interested in building scalable software and infrastructure that supports analytics, AI/ML, and data-driven decision making.
You understand why data security and privacy matter deeply to our users and our business.
You are collaborative, curious, and eager to learn from feedback and mentorship in a fast-moving engineering environment.
You have experience using version control systems (e.g., Git) in a collaborative setting.

Responsibilities

Learn from engineers across teams who hold deep curiosity for data and are passionate about building robust infrastructure.
Gain hands-on experience with production data systems at the global scale of Strava, supporting analytics, AI/ML, engineering, marketing, and finance teams.
Contribute to meaningful projects that deliver value through software, tooling, and automation rather than manual work.
Develop your skills in modern data technologies and the steadily evolving data platform ecosystem.