About the Team

The Global Intelligence Team focuses on making Uber take meaningful marketplace decisions with better data and algorithms! The ambitious problems include modeling sophisticated market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber's pricing with data/algorithms from this team. The software engineers on the team use meaningful amounts of data to address these challenges, building scalable engineering solutions.

We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise, with prior experience or interest in science models and methodologies and who are also passionate about seeking the truth via deep-diving into the complicated structured and unstructured data!

About the Role

\\-\\-\\-\\- What the Candidate Will Do ---

- Work on creating a platform that powers data driven decision making for Uber Rides and Eats line of business.

- Design and develop new systems to empower fast data-driven decisions

- Build distributed backend systems serving real-time analytics and machine learning features at Uber scale.

- Work with the product and science team to build and drive technical roadmap and vision for the team.

\\-\\-\\-\\- Basic Qualifications ---

- 3+ years of full-time engineering experience

- Experience working with multiple multi-functional teams (product, science,product ops etc)

- Understanding of Big data architecture, ETL frameworks and platforms.

- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more.

- Experience with data-driven architecture and systems design

- Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) and data warehousing architecture and data modeling.

\\-\\-\\-\\- Preferred Qualifications ---

- Experience or interest in learning science models and methodologies.

- Experience building complex systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto.

- BS/MS/Phd in Computer Science or related field required

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.