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# Software Engineer II

- **Company:** Uber
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Data Analysis, BigQuery, Data as a Services, Python (Programming Language), MySQL, Performance Tuning, Standard Sql, Software Systems, SQL Databases, System Programming, Tableau (Software), Cloud Platform System, Snowflake, Apache Spark, Backend, Information Technology, Data Analytics, Presto, Looker Analytics, Golang
- **Published:** June 27, 2026
- **Apply:** https://dejobs.org/x/x/8239770A28884FB79A71AD6E40B4F4E5/job/

## About the Role

* Bachelor's degree in Computer Science or related field.
 * 2+ years of experience building Data products, AI and large scale distributed software systems.
 * Solid understanding of Java/GO/Python for backend / systems software development.

Preferred Qualifications

 * MS in Computer Science, Artificial Intelligence, or a related field.
 * Experience managing production systems with strong availability SLAs.
 * Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.
 * Proficient in BI tools, SQL compiler development, and query plan/runtime optimization.
 * Fluency in Go, Python, and SQL
 * Deep understanding of query planning, optimization techniques, and performance tuning.

## Description

We are looking for a passionate, hands-on Software Engineer to join Uber's Data 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:

 * Serves 10,000+ weekly active users
 * Processes 3.5M+ queries per week
 * Supports engines such as Presto, Spark, and MySQL
 * Powers tools like uMetric, Bullseye, Enterprise Reports, Looker, and Tableau


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