About the Role

Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.

About the Team:

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.

Uber Engineering is a high-performance culture marked by fearlessness and smart-productivity. We’re looking for a smart L4 Engineer who can work harder, faster, and smarter, while taking technical excellence to a whole new level.

What the Candidate Will Need / Bonus Points

- What the Candidate Will Do -
• Work on Data Analytics, Big Data Processing, Data Storage Systems, Distributed Systems
• Engage with stakeholders across teams to drive clarity of business or technical problems and lead the design and development of data solutions and/or architectures for various products and/or processes across teams.

- Basic Qualifications -
• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering