Senior Software Engineer, Data Platform

Strava • San Francisco, CA

4h • Hybrid

About The Position

About Strava 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. About this Role We are seeking a senior software engineer to help grow our data platform as Strava scales. Data is a critical driver of decisions that benefit both our athletes and the business. The Strava Data Platform serves as the foundation for this decision-making process, supporting every part of the company through infrastructure enabling rich data analysis. We strive to build a platform that enables self-service for a variety of use cases while maintaining strong governance and reliability. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco location — three days per week.

Requirements

• Have 3+ years of experience developing data-intensive software using languages like Python, Scala, Java, Go, or Ruby, with the ability to evaluate and adopt new technologies as business needs evolve.
• Be comfortable reading and reasoning about SQL queries in data pipeline contexts (e.g., dbt models), understanding how transformations impact downstream systems.
• Have hands-on experience working with distributed data processing tools (e.g., Spark, Flink, Kafka) on production datasets, with an understanding of their tradeoffs and appropriate use cases.
• Have built or maintained data pipelines using cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), Data lakes (e.g., Iceberg, Hudi) or similar solutions, understanding performance optimization and cost considerations.
• Understand the underlying infrastructure needed to serve production data platforms (e.g., Kubernetes, AWS, GCP, Azure), including experience deploying and managing data infrastructure components like clusters, storage systems, and compute resources.

Responsibilities

• Collaborate with people across teams and functions that hold deep curiosity for data.
• Work with hefty data systems at the global scale of Strava, supporting functions including analytics, AI/ML, engineering, and finance, and help strengthen our infrastructure as we grow.
• Deliver value more through software, leaning into tooling and automation rather than repetitive toil.
• Grow your expertise in the steadily evolving technologies and ecosystem of data.
• Building scalable software solutions to existing data problems utilizing modern data technologies.
• Writing high quality and reliable code that supports our end user experience.
• Understanding that data security and privacy is of utmost importance.
• Holding empathy for the users of our platform to truly understand the challenges we address for them.
• Fostering an inclusive and motivating team culture to help everyone achieve their best.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed