Job Description

About the Team

We are looking for a passionate and hands-on engineer to join Uber's Analytics Ecosystem team-one of the largest business intelligence (BI) and analytics platforms in the industry. Our team manages Uber's BI ecosystem and is driving the next generation of BI products focused on efficiency, speed, query governance, and AI-powered features. This platform powers data-driven decision-making across core areas such as Rides, Eats, Freight, Risk, and more.

About the Role

In this role, you'll work with cutting-edge technologies, help shape architectural decisions across BI tools, data products, and cloud infrastructure, and collaborate with a highly skilled team to influence the future of Uber's data platform.

The Analytics Ecosystem supports over 10,000 weekly active users and handles more than 3.5 million queries per week across technologies like Presto, Presto on Spark, MySQL, and Spark. Additionally, several internal product platforms-including uMetric, Bullseye, Enterprise Reports, Looker and Tableau-depend on our infrastructure for interactive analytics.

What the Candidate Will Need / Bonus Points

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

1. Design and build end-to-end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI-assisted features.
2. Drive impactful BI initiatives on Uber's data platform, serving a global user base.
3. Develop and optimize core components of BI ecosystem, core engines, and services that power data-driven decision-making at scale.
4. Design and implement distributed, low-latency algorithms for interactive and large-scale data processing.
5. Optimize performance of cloud-based SQL BI solutions, with a focus on scalability and user experience.
6. Collaborate with multiple partner teams, both within and outside of Uber, to build cross-functional solutions in a highly collaborative work environment.
7. Actively contribute to the open-source community, including Presto, through code contributions, talks, and participation in community activities.

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science or related field.
2. 8+ years of experience building large scale distributed software systems.
3. Solid understanding of Java/GO/Python for backend / systems software development.

---- Preferred Qualifications ----

1. MS or PhD in Computer Science, Artificial Intelligence, or a related field.
2. Experience managing production systems with strong availability SLAs.
3. Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.
4. Proficient in BI tools, SQL compiler development, and query plan/runtime optimization.
5. Fluency in Java, Python, and SQL
6. Strong background in large-scale distributed systems (e.g., HDFS, YARN) and cloud infrastructure.
7. Deep understanding of query planning, optimization techniques, and performance tuning.
8. Experience developing or integrating AI/ML models into data and analytics workflows.
9. Familiarity with conversational AI, AI-driven BI, or intelligent assistants for analytics use cases.
10. Experience designing and implementing frontend/UI components, especially for data-centric applications.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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

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. #J-18808-Ljbffr

Job Tags

Full time, Work at office, Remote work,

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