Posted:2 days ago|
Platform:
Remote
Full Time
Are you passionate about building high-performance, globally scalable financial data systems that power Uber's business growth and innovation Do you thrive on solving complex data challenges and using AI to unlock automation and insight Does leading at the intersection of large-scale data, finance, and cutting-edge technology excite you If so, Uber FinTech is for you.
The FinTech team builds the foundational technology that powers Uber's global financial ecosystem - from billing, compliance, and reporting to forecasting, reconciliation, and automation. We are evolving our data infrastructure to leverage Generative AI (GenAI) and intelligent data systems that deliver smarter automation, adaptive insights, and faster decision-making.
As a Senior Staff Data Engineer, you will define and drive the architecture, scalability, and intelligence of Uber's financial data systems. You'll lead cross-org initiatives that shape how Uber ingests, models, secures, and governs financial data at global scale. This role demands exceptional technical depth, architectural vision, and the ability to influence across engineering, finance, and AI domains.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .
Uber
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