Data Engineer II
San Francisco, CA
Strava
Strava connects millions of runners, cyclists, hikers, walkers and other active people through the sports they love – all on our mobile app and website.About this role
Strava is the leading digital community for active people with more than 120 million athletes, in more than 190 countries. The platform offers a holistic view of your active lifestyle, no matter where you live, which sport you love and/or what device you use. Everyone belongs on Strava when they are pursuing an active life.
We are seeking data engineers to join our Data Platform 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 and support a platform that enables access to data through self-service and extensible tools.
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.
For more information on compensation and benefits, please click here.
This role is based in San Francisco, CA.
You’re excited about this opportunity because you will:
- Collaborate with people across teams and functions that hold deep curiosity for data.
- Work with hefty data systems at the global scale of Strava.
- 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.
You will be successful here by:
- Holding empathy for the users of our platform to truly understand the challenges we tackle for them.
- Fostering an inclusive and motivating team culture to help everyone achieve their best.
- Caring about high quality and reliable code, but also the end user experience.
- Solving problems efficiently, creatively, and completely despite constraints in time or resources.
- Understanding how critical it is we maintain a high bar of data security and privacy.
We’re excited about you because you:
- Have the ability to adapt and apply evolving data technologies to business needs (which means the list of bullets below will change over time!).
- Have developed software using programming languages like Python, Scala, Java, Go, Ruby, etc.
- Have sufficient familiarity to understand SQL queries in the context of data pipelines (i.e. dbt).
- Have experience with distributed data tools (i.e. Spark, Flink, Kafka) on large datasets.
- Have worked with cloud-data warehouses (i.e. Snowflake, BigQuery, Redshift) or other warehousing solutions.
- Have an understanding of underlying infrastructure needed to serve production services (i.e. Kubernetes, AWS, GCP, Azure).
About Strava
Strava 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. And with billions of activity uploads from all over the world, we have a humbling and audacious 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. And 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, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community – we are continuously striving to hire and engage diverse teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Despite challenges in the world around us, we are continuing to grow camaraderie and positivity within our culture and we are unified in our commitment to becoming an antiracist company. We are differentiated by our truly people-first approach, our compassionate leadership, and our belief that we can bring joy and inspiration to athletes’ lives — now more than ever. All to say, it’s a great time to join Strava!
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery Data pipelines dbt Flink GCP Java Kafka Kubernetes Pipelines Privacy Python Redshift Ruby Scala Security Snowflake Spark SQL
Perks/benefits: Career development
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