refresh

Trending companies

Trending companies

Jobs

JobsUber

Data Engineer - Growth and Marketing Platform

Uber

Data Engineer - Growth and Marketing Platform

Uber

·

On-site

·

Full-time

·

2w ago

About the Role:

The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.

You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.

What You Will Do:

  1. Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
  2. Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
  3. Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
  4. Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
  5. Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
  6. Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.

Basic Qualifications:

  1. 4+ years of experience in data engineering or backend software development.
  2. Proficiency in Python, SQL, Java, or Scala for data pipeline development.
  3. Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, Map Reduce) and distributed computing.

Data warehouse and Data Modeling experience:

Preferred Qualifications:

Experience in Web and SEO Analytics:

Experience in Marketing Technologies:

  1. Designing and executing on Real-time and Near Real-time Systems
  • For San Francisco, CA-based roles: The base salary range for this role is USD**$171,000 per year**
  • USD**$190,000 per year**.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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.

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.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

About Uber

Uber

Uber

Public

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.7

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.4

Management

2.8

68%

Recommend to a friend

Pros

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

Cons

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

Salary Ranges

15,354 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total per year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

Interview experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge