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JobsUber

Senior Data Engineer

Uber

Senior Data Engineer

Uber

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Parental leave

Professional development budget

401(k) matching

Parental Leave

Learning

Required Skills

JavaScript

React

PostgreSQL

Senior Data Engineer

1 week ago• San Francisco, CA

About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
Size: 10000+ employees

Industry: Technology

About the Role:

We are seeking a strong and passionate data engineer with experience in large scale system implementation, with a focus on complex data pipelines. The candidate must be able to design and drive large projects from inception to production. The right person will work with stakeholders, analysts, scientists to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, team player, and a technical powerhouse.

What the Candidate Will Do

Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward.

Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets.

Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs.

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Basic Qualifications- Strong SQL skills

  • Strong in Data Warehousing and Data Modelling concepts
  • Hands on experience in Hadoop tech stack:
  • HDFS, Hive, Oozie, Airflow, Map Reduce, Spark.
  • Programming languages
  • Python, Java, Scala etc.
  • Experience in building ETL Data Pipelines
  • Performance Troubleshooting and Tuning

Preferred Qualifications

  • Experience with DW (Data Warehouse) or BI (Business Intelligence) or OLAP tools like Anaplan, TM1, Hyperion etc.

  • Experience building high-quality end-to-end data solutions in an agile environment from requirements to production.

  • Strong in Data Warehousing concepts

  • Should be self-motivated and passionate about bringing efficiency into the system through optimizations.

  • Should be able to raise the bar for other engineers by proposing and driving innovative ideas.

  • Experience in mentoring junior team members technically.

  • If need be, Act as a Leader to drive big efforts in collaboration with other engineers or team members.

  • For San Francisco, CA-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 https://www.uber.com/careers/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.

Client-provided location(s):San Francisco, CA

Job ID: Uber-152597

Employment Type: FULL_TIME

Posted: 2026-01-23T00:31:34
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

Fertility Benefits:

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Pet-friendly Office
  • Snacks
  • Some Meals Provided
  • On-Site Cafeteria

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • Company Equity
  • Performance Bonus

Professional Development

  • Work Visa Sponsorship
  • Associate or Rotational Training Program
  • Promote From Within
  • Mentor Program
  • Access to Online Courses

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Diversity, Equity, and Inclusion Program

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About Uber

Uber

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

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / 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