Software Engineer II - BI and AI Analytics for Data platform
UberSan Francisco, United StatesPosted 2 April 2026
Job Description
Software Engineer II - BI and AI Analytics for Data platform
Department: Engineering
Team: Backend
Location: San Francisco, United States
Type: Full-Time
**About the Role (Not an intern role)**
We are looking for a passionate, hands-on Software Engineer to join Uber’s BI & Analytics team, which powers one of the largest business intelligence platforms in the industry. Our team owns the core BI ecosystem and is building the next generation of analytics products with a strong focus on AI-powered experiences, efficiency, and scalability.
This platform enables data-driven decision-making across Uber’s core businesses, including Rides, Eats, Freight, and Risk. We are actively investing in AI-assisted analytics, such as intelligent query generation, automated insights, and conversational interfaces for data.
As an L4 engineer, you will contribute to building and scaling backend systems, data services, and user-facing analytics capabilities, while collaborating closely with experienced engineers and partner teams. The Analytics Ecosystem:
1. Serves 10,000+ weekly active users
2. Processes 3.5M+ queries per week
3. Supports engines such as Presto, Spark, and MySQL
4. Powers tools like uMetric, Bullseye, Enterprise Reports, Looker, and Tableau
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. Contribute to AI-powered BI features, such as query assistants, anomaly detection, and intelligent insights
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 cross-functional teams to deliver impactful data solutions
\-\-\-\- Basic Qualifications ----
1. Bachelor’s degree in Computer Science or related field.
2. 4+ years of experience build
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