Uber's FinTech Data Team is seeking a passionate Mid-Level Data Engineer to join their dynamic team in San Francisco. This role is at the heart of Uber's financial operations, where you'll be responsible for converting raw data into valuable financial metrics and supporting KPIs across all Lines of Business.
The position offers a unique opportunity to work with a global team monitoring billions of dollars in financial transactions and tracking hundreds of millions of events from over 15 upstream systems. You'll be instrumental in building and maintaining high-performance, scalable data pipelines that serve as the backbone of Uber's financial decision-making processes.
As a Software Engineer II in the Data team, you'll work closely with Product Managers to understand the complex domain of Finance and various business nuances. The role requires expertise in ETL pipeline development, data warehousing, and strong SQL skills. You'll be using cutting-edge technologies including Hadoop, Spark, and various cloud platforms.
The ideal candidate will have a strong background in Computer Science or a related field, with demonstrated experience in building scalable data solutions. You'll be working in a hybrid environment, with the expectation to spend at least half of your work time in the San Francisco office, fostering collaboration and maintaining Uber's cultural identity.
This is a high-impact role offering competitive compensation ($158,000-$175,500 base salary), equity opportunities, and comprehensive benefits. You'll be part of a team that powers the FP&A platform and helps drive strategic business decisions across Uber's global operations. If you're passionate about large-scale data systems and want to make a significant impact in the FinTech space, this role offers an excellent opportunity to shape the future of financial technology at Uber.