Data Engineer Ii - Global Intelligence

About The Role

The Global Intelligence Team focuses on making Uber take important marketplace decisions with better data and algorithms. The ambitious problems include modeling complex 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 substantial 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.

What You’ll Do

• Work very closely with the science team to implement and productionize the models.
• Work with the product and science team to build and drive technical roadmap and vision for the team.
• 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 on creating a platform that powers data driven decision making for Uber Rides and Eats line of business.

Basic Qualifications

• Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) and data warehousing architecture and data modeling.
• Experience with data-driven architecture and systems design
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more.
• Understanding of Big data architecture, ETL frameworks and platforms.
• Experience working with multiple cross functional teams (product, science,product ops etc)
• 2+ years of full-time engineering experience
• Knowledge of Big Data Technologies

Preferred Qualifications

• A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and proper test coverage and you call something “done” only when these are in place.
• Building and earning respect within the team and peers. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement and you help others by returning the favor.
• Experience or interest in learning science models and methodologies.
• BS/MS/Phd in Computer Science or related field required
• Experience building complex systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto.

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.

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.