Software Engineer II

Uber; San Francisco (CA); Hybrid; USD 171,000 - 209,000; Full time

Benefits offered by this job

Bonus program

Benefits

Job summary

Uber is seeking a Software Engineer II on the Data and Storage teams to architect foundational infrastructure powering business decisions for millions of users. You will design and operate scalable storage and data processing systems, leveraging Spark, Hive, Presto, and Flink to build robust data pipelines across the ad tech stack.

You will collaborate with cross-functional teams and leverage internal Uber tech stacks to productionize winning strategies, while building tools to improve

Qualifications

• 3+ years of professional software engineering experience in backend or data engineering.
• Experience with data modeling, query optimization, and translating customer problems into system design.
• Bachelor's Degree in Computer Science, Engineering, or related field.

Responsibilities

• Design, build and deliver end-to-end features across the AdTech stack.
• Design, develop and operate scalable and reliable services.
• Build scalable data pipelines using Spark, Hive, Presto, Flink.
• Collaborate with Product Management, Data Science, and Marketing.
• Leverage Uber internal tech stacks and systems to shape roadmaps.
• Develop tools and automation to improve end-user efficiency.
• May telecommute.

Skills

Backend development

Distributed systems

Data engineering

Go

Java

Python

C++

GIT

SQL

Spark

Hive

Presto

Flink

Kafka

Education

Bachelor's Degree in Computer Science, Engineering or related field

Tools

GIT

SVN

Hadoop

Hive

Spark

Presto

Kafka

Job description

About the role and team

Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II on our Data and Storage teams, you will architect the foundational infrastructure that powers business decisions and core services for millions of users. Whether you are scaling distributed storage platforms or building high-performance data pipelines, you will be solving complex challenges at the intersection of low latency, high correctness, and massive scale.

The problems here are messy and the systems are global. You'll need to make smart decisions with imperfect information, own your work end-to-end, and stay calm when high-load systems are on the line. We are looking for engineers who think in systems, pride themselves on robust monitoring, and believe that the best solutions are built through candid feedback and cross-functional collaboration. If you're energized by challenges and motivated to move the real world - this is where you'll grow.

Rate of Pay: $171,000 to $209,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

What you'll do

• Design, build and deliver end-to-end features spanning across the AdTech tech stack.
• Design, develop and operate highly scalable and reliable services.
• Leverage your experience with large scale data using big data technologies such as Spark, Hive, Presto, Flink, to build scalable data pipelines that power various ad tech use cases.
• Work in a cross-functional team along with Product Management, Data Science, and Marketing to experiment with new strategies and approaches to optimize ad spend and then build scalable production systems to productionize the winning strategies.
• Collaborate across other engineering teams at Uber to leverage other Uber Internal tech stacks and systems like Michelangelo (ML), Bullseye (Audience Builder), Morpheus (Experimentation), Flow (Workflow Automation), Piper (Data orchestrator) etc. to build systems that leverage mature technologies at Uber and also influence the overall roadmap of these technologies.
• Build tools and automation to eliminate manual processes and improve efficiency of our end users.
• May telecommute.

Basic Qualifications

• 3+ years of professional software engineering experience in backend development, distributed systems, or data engineering.
• Proficiency in one or more object-oriented or functional programming languages (e.g., Go, Java, Python, or C++).
• Experience with data modeling, query optimization, and translating customer problems into system design.
• Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.
• Experience writing tests to verify functionality and establishing monitoring systems to ensure code stability.

Preferred Qualifications

• Employer will accept a Bachelor's degree Computer Science, Engineering (Any), Information Technology, Applied Mathematics, Physics, or related field and 3 years of experience in the job offered or in a related occupation.
• Position requires:
  • C++, Python, Java, GIT, or SVN;
  • SQL or MySQL;
  • Data structures and algorithms development and functionality;
  • Designing technology stacks;
  • System Architecture and Data Modeling;
  • Debugging and monitoring for production services;
  • Distributed systems such as Hadoop, Hive, Spark, Presto, and Kafka;
  • Software Development Lifecycle;
  • Productionizing Machine Learning Models;
  • Real Time Data Systems;
  • Streaming Data Driven Production Systems;
  • Service Oriented Architecture.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.