Senior Data Engineer, Data Quality & Experimentation San Francisco, CA

Company: Strava
Location: San Francisco
Posted on: March 30, 2025

Job Description:

Senior Data Engineer, Data Quality & ExperimentationAbout This RoleStrava is the app for active people. With over 150 million athletes in more than 190 countries, it's more than tracking workouts-it's where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, Strava's got you covered. Find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today.We are seeking data engineers to join our Data Team. Our vision is that key decisions and product at Strava can be greatly enriched with data to benefit athletes and the business. Our mission is to build the infrastructure and systems that enable best-in-class data science, analytics, and self-service business intelligence.This means we listen to all corners of the company for opportunities where data can make a difference. We distill this down and use modern technologies to develop both generalized and special purpose data solutions.We follow a flexible hybrid model that generally translates to around half your time on-site in our San Francisco -roughly three days per week.You're excited about this opportunity because you will:

• Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for Strava's core business data models and analytical data sets.
• Implement monitoring and alerting for the quality and availability of data sets and workflows that guarantee the integrity of Strava's data assets.
• Collaborate with the data team to develop optimizations and best practices and for data science workflows and self-service reporting infrastructure.
• Contribute to Strava's data culture by developing data and tools for self-service exploration, reporting, and experimentation.You will be successful here by:
  • Understanding the business relevance of our data sets and ensuring data consumers work from a reliable and accurate foundation.
  • Improving the extensibility and efficiency of our data models and self-service tools to create data processes that will scale with our growing user base.
  • Proactively identifying the processes and tools will drive the most impact to our data ecosystem.
  • Understanding how critical it is we maintain a high bar of data security and privacy.We're excited about you because:
    • You have 5+ years of experience implementing and maintaining ETL/ELT orchestration systems, such as Airflow or dbt.
    • You are an advanced SQL user in the context of data pipelines and have developed software using programming languages like Python, Scala, Java, Go, Ruby, etc.
    • You have experience implementing tools that empower efficient development of data products (i.e. data catalog, data quality monitoring, BI tools, etc.).
    • Have an understanding of underlying infrastructure needed to serve production services (i.e. Kubernetes, AWS, GCP, Azure) with the ability to adapt and apply evolving data technologies to business needs.Compensation Overview:At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three tiers based on a cost of labor index for that geographic area. We will determine the candidate's starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future.Compensation: $160,000 - $185,000. The base salary posted is within the compensation range for this role. This range reflects base pay only and does not include equity or benefits. Your recruiter can share more about the specific salary range for your location during the hiring process.About StravaStrava is Swedish for "strive," which epitomizes who we are and what we do. We're a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. With billions of activity uploads from all over the world, we have a humbling and adventurous vision: to be the record of the world's athletic activities and the technology that makes every effort count.Strava builds software that makes the best part of our athletes' days even better. Just as we're deeply committed to unlocking their potential, we're dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We're backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we're expanding in order to exceed the needs of our growing community of global athletes.Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
      #J-18808-Ljbffr

Keywords: Strava, San Francisco , Senior Data Engineer, Data Quality & Experimentation San Francisco, CA, Engineering , San Francisco, California