Software Engineer II

About the Role

Uber is committed to delivering safer and more reliable transportation across our global markets. To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks in our driver-partner sign-up process. Over time, the need for more insights has resulted in over 100 petabytes of analytical data that needs to be cleaned, stored, and served with minimum latency through our multilayered Data Platform architecture.

Since the beginning of Data engineering at Uber, we have worked to develop a Big Data platform that ensures data reliability, scalability, and ease-of-use, and are now focusing on increasing our platform's speed and efficiency [ Uber's Big Data Platform: 100+ Petabytes with Minute Latency].

Our data analytics platform hosts many hundreds of thousands of big datasets that span across hundreds of data warehouses. With ~10 thousands weekly active users (Uber internal users) our platform is the bread-and-butter for engineers, data scientists, products and operations teams at Uber. Every week, more than 5 million queries are run over the platform to get critical data insights and build ML models. Data analytics team serves as the backbone for all data driven businesses at Uber. The role that this team plays, the impact that it brings to Uber, is growing every passing day.

Data teams at Uber are designed to play global roles (not building platforms for a specific country or market) and work with full autonomy. Team strikes an excellent balance between building a long term vision and accelerating the business.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [email protected].