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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
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
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