Senior Software Engineer - Global Intelligence

Uber

Seattle, WA

Full Time

Senior

198k-220k

10 days ago

Job Description

About the Role

The Global Intelligence Team focuses on making Uber make important marketplace decisions with better data and algorithms. The team tackles ambitious problems such as modeling sophisticated market-level dynamics, rider and driver choices, cross-service decisions across rides and Eats, and fine-tuning Uber's pricing using data and algorithms. Software engineers on the team use substantial amounts of data to build scalable engineering solutions, aiming to address complex business and product challenges with data engineering expertise and scientific methodologies.

Key Responsibilities

Work on creating a platform that powers data-driven decision making for Uber Rides and Eats line of business
Be a technical lead for a team that works closely with Science to implement and productionize statistical models
Design, develop, and deploy new systems to empower fast data-driven decisions
Build distributed backend systems serving real-time analytics and machine learning features at Uber scale
Work with the product and science teams to build and drive the technical roadmap and vision for the team

Requirements

4+ years of full-time engineering experience
Experience working with multiple multi-functional teams (product, science, product ops, etc.)
Proficient in Big Data architecture, ETL frameworks, and platforms
Expertise in one or more object-oriented programming languages (e.g., Python, Go, Java, C++) and eagerness to learn more
Expert in data-driven architecture and systems design
BS/MS/PhD in Computer Science or related field

Nice to Have

Experience building sophisticated systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto
A passion for taking ownership, including efficient monitoring, strong documentation, and accurate test coverage
Building and earning respect within the team and peers, valuing team collaboration and continuous improvement through feedback

Qualifications

BS/MS/PhD in Computer Science or related field

Benefits & Perks

Eligible to participate in Uber's bonus program
May be offered an equity award and other types of compensation
Eligibility for various benefits as detailed at https://www.uber.com/careers/benefits

Working at Uber

Uber values collaboration and considers offices central to its cultural identity. Employees are generally expected to spend at least half of their work time in their assigned office, with some roles requiring 100% in-office presence. The company emphasizes a culture of continuous improvement, respect, and teamwork.

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