Software Engineer II - Analytics Ecosystem

About the Role (Not an intern role/ not a Data science or Data Engineer role) - Software Engineer II

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

• 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
  
  

What the Candidate Will Do ----

• Design and build end-to-end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI-assisted features.
• Contribute to AI-powered BI features, such as query assistants, anomaly detection, and intelligent insights
• Develop and optimize core components of BI ecosystem, core engines, and services that power data-driven decision-making at scale.
• Design and implement distributed, low-latency algorithms for interactive and large-scale data processing.
• Optimize performance of cloud-based SQL BI solutions, with a focus on scalability and user experience.
• Collaborate with cross-functional teams to deliver impactful data solutions
  
  

Basic Qualifications

• Bachelor's degree in Computer Science or related field.
• 4 years of experience building BI products 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.
• Experience developing or integrating AI/ML models into data and analytics workflows.
• Familiarity with conversational AI, AI-driven BI, or intelligent assistants for analytics use cases.
• Experience designing and implementing frontend/UI components, especially for data-centric applications.
  
  

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.