Overview
On Site
USD 198,000.00 - 220,000.00 per year
Full Time
Skills
Modeling
Dynamics
Pricing
Algorithms
Data Engineering
Unstructured Data
Decision-making
IT Management
Statistical Models
Real-time
Analytics
Machine Learning (ML)
Roadmaps
Science
Big Data
Extract
Transform
Load
Object-Oriented Programming
Python
Java
C++
Systems Design
Computer Science
Apache Hadoop
HDFS
Apache Kafka
Apache Hive
Documentation
Continuous Improvement
Law
Legal
Collaboration
Job Details
About the Role
The Global Intelligence Team focuses on making Uber make important marketplace decisions with better data and algorithms! The ambitious problems include modeling sophisticated market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber's pricing with data/algorithms from this team. The software engineers on the team use substantial amounts of data to address these challenges, building scalable engineering solutions.
We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise, with prior experience or interest in science models and methodologies and who are also passionate about seeking the truth via deep-diving into the complicated structured and unstructured data!
What You'll Do
- 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
Basic Qualifications
- 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 the eagerness to learn more
- Expert in data-driven architecture and systems design
- BS/MS/Phd in Computer Science or related field required
Preferred Qualifications
- Experience building sophisticated systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto
- A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and accurate test coverage and you call something \"done\" only when these are in place
- Building and earning respect within the team and peers. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement and you help others by returning the favor
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
The Global Intelligence Team focuses on making Uber make important marketplace decisions with better data and algorithms! The ambitious problems include modeling sophisticated market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber's pricing with data/algorithms from this team. The software engineers on the team use substantial amounts of data to address these challenges, building scalable engineering solutions.
We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise, with prior experience or interest in science models and methodologies and who are also passionate about seeking the truth via deep-diving into the complicated structured and unstructured data!
What You'll Do
- 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
Basic Qualifications
- 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 the eagerness to learn more
- Expert in data-driven architecture and systems design
- BS/MS/Phd in Computer Science or related field required
Preferred Qualifications
- Experience building sophisticated systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive, and Presto
- A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and accurate test coverage and you call something \"done\" only when these are in place
- Building and earning respect within the team and peers. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement and you help others by returning the favor
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.