**About the Role**
The Delivery Data Solutions (DDS) team constructs the foundational technology for Uber’s global delivery ecosystem, ensuring data quality and enhancing app and product performance. We are strategically evolving our data infrastructure, leveraging Generative AI (GenAI) and intelligent data systems to deliver smarter automation, adaptive insights, and faster decision-making for ML and Data Science teams.
As a Senior Staff Data Engineer, you will define and drive the architecture, scalability, and intelligence of Uber's delivery data systems. You will lead critical cross-organizational initiatives that govern how Uber ingests, models, secures, and governs delivery data at a global scale. Success in this role requires exceptional technical depth, architectural vision, and the ability to influence engineering and AI domains across complex ecosystems (e.g., merchant, eater, trip, feed, and search).
**What the Candidate Will Need / Bonus Points**
1. Build Data Products for business use cases - batch & real time
2. Metrics development for the analytical needs
3. Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards.
4. Mentor the fellow engineers on design & architecture, perform quality code review and design reviews for the data product development.
5. Contribute to the strategic investments both from inception and execution point of view.
6. Consult and advise the product engineering teams on the data engineering practices.
\-\-\-\- Basic Qualifications ----
01. Bachelor’s or Master’s degree in Computer Science or related field.
02. 15+ years of experience building and managing large-scale distributed data systems.
03. Experience implementing GenAI or LLM-driven solutions for data enrichment, automation, or observability use cases.
04. Proficiency in multiple programming languages — Go, Java, Python, or Scala — and data stores such as MySQL, Cassandra, or Redis.
05. Proven experience designing data pipelines, data models, and data warehouses for analytical and operational use cases.
06. Expert in SQL and modern MPP databases (Hive, Redshift, BigQuery, Snowflake, etc.).
07. Deep experience with big data ecosystems (Hadoop, Spark, Presto, Flink).
08. Strong understanding of distributed systems design, fault tolerance, and reliability.
09. Hands-on experience with data quality automation, observability tooling, and CI/CD integration for data systems.
10. Solid technical leadership abilities, and comfortable working with various stakeholders to ensure adoption/impact
11. Excellent written and verbal communication skills, including the ability to write detailed technical documents
12. Demonstrated ability to mentor engineers, foster collaboration, and build strong technical culture.
\-\-\-\- Preferred Qualifications ----
1. Master’s or PhD in Computer Science or related technical field.
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 [accommodations@uber.com](mailto:accommodations@uber.com).
