**About the Role** This is an exciting opportunity to work on one of the largest analytics ecosystems in the industry, supporting mission-critical operations and driving data-driven decision-making at Uber across Rides, Eats, Freight, Risk, and more. You’ll have the chance to work with cutting-edge technologies, influence key architectural decisions around Uber BI tools, Query Engines, Cloud infrastructure, and collaborate with a talented team to shape the future of our data. Analytics Ecosystem at uber, supports 10K+ weekly active users running more than 3.5 million queries each week including, Presto, Presto on Spark, Mysql, Spark, etc. Additionally, multiple product platforms like uMetric, Bullseye, Enterprise-reports, and Tableau rely on our products for interactive analytics. Our team also supports Presto. Presto is our primary interactive big data analytics query engine at Uber. Originally developed at Facebook, it is now managed as an open-source project by the Presto Linux Foundation. As part of the Analytics ecosystem team, you will design, implement, optimize, and manage large scale distributed computing infrastructure that will impact multiple business use cases at Uber scale. You will also have the opportunity to collaborate with the open source community for Presto and SQL ecosystems. 1. Learn the internals of big data infrastructure at Uber scale. 2. Design and implement distributed and real-time algorithms for interactive data processing. 3. Optimize the performance of our cloud-based SQL BI solutions. 4. Collaborate with multiple partner teams, both within and outside of Uber, to build cross-functional solutions in a highly collaborative work environment. 5. Deep-Dive the internal of MPP Data Analytics Engine, do the optimization on the query logical/physical/execution plan, and also improve the query execution on the runtime engine including codegen, threading model, data formatting and reader, etc. 6. 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. 2+ 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 / PhD in Computer Science or related field. 2. Experience managing production systems with a strong availability SLA 3. Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery 4. Experience working with BI tools, SQL Compiler, SQL Plan / Runtime Optimization. 5. Experience working with Presto, Apache Spark or similar analytics technologies. 6. Experience working with Large Scale distributed system (HDFS, YARN) and cloud 7. Experience working on query planning, query optimization techniques, and performance-tuning strategies 8. Experience with frontend and UI For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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.