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JobsUber

Sr Software Engineer

Uber

Sr Software Engineer

Uber

Hyderabad, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Team events and activities

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Professional development budget

Flexible Hours

Equity

Healthcare

Parental Leave

Learning

Required Skills

Node.js

React

PostgreSQL

Sr Software Engineer

2 weeks ago• Hyderabad, India
Apply on company site

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

We are looking for a Senior Data Engineer to contribute to high-impact initiatives within the Payments Data Engineering team. In this critical role, you will design, build, and optimize data systems that support the scalability, accuracy, and compliance of our global payments infrastructure. You'll work closely with cross-functional partners in Engineering, Product, Risk, and Compliance to transform complex financial and transactional data into reliable pipelines, actionable insights, and audit-ready datasets.

The ideal candidate is a strong individual contributor who combines deep technical expertise with a pragmatic approach to solving real-world data challenges. You are comfortable navigating ambiguity, driving projects forward, and have a passion for improving payment systems through robust, high-quality data solutions.

---- Basic Qualifications ----

7+ years of hands-on experience in software engineering with a focus on data engineering

Proficiency in at least one programming language such as Python, Java, or Scala

Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, Map Reduce, Presto)

Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms

Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders

---- Preferred Qualifications ----

Deep understanding of data warehousing concepts and data modeling best practices

Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto)

Familiarity with streaming technologies such as Kafka or Samza

Expertise in performance optimization, query tuning, and resource-efficient data processing

Strong problem-solving skills and a track record of owning systems from design to production

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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 fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s):Hyderabad, India

Job ID: Uber-153243

Employment Type: FULL_TIME

Posted: 2026-01-15T00:34:12
Apply on company site

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

Apply on company site

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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