If you are passionate about building amazing data products through effective visualizations and tools that bring infrastructure and users together, and are motivated to make an impact in creating a world-class data ecosystem - we would love to talk to you. Data is the only way we make decisions, it’s the core of our business helping us create an exceptional transportation experience for our customers and providing insights into the effectiveness of our product & features.
You will be a part of an early team that engineers intuitive interfaces to get faster access to and insights from data. Our mission is to make data the heart of every decision enabling users to understand deeply when, what, who, and where of the business. You will help shape the vision and architecture of Lyft’s next generation data platform. You will be responsible for developing a reliable suite of data products that scales with the company’s incredible growth. Your efforts will allow accessibility to business and user behavior insights, leveraging huge amounts of Lyft data to fuel several teams such as Market Health, Analytics, Data Science, Marketplace, Fraud and many others.
We are a set of engineers constantly striving to create an amazing experience for our customers and ourselves, and we believe data brings everything together. We build and operate the platform used by the rest of the company for stream and batch computation serving mechanisms ranging from analyzing data through interactive querying to training ML models. And this team is responsible for bringing infrastructure to life through visualization and tools. You will be a part of an experienced engineering team and work with passionate leaders on challenging problems.
We regard culture and trust highly and believe you will add positively to it in your own way.
Lyft is an EEO employer that actively pursues and hires a diverse workforce, and pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.