Data Engineer - Growth and Marketing Platform

San Francisco, CA, US • Posted 1 day ago • Updated 8 hours ago
Full Time
On-site
USD $171,000.00 - 190,000.00 per year
Fitment

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Job Details

Skills

  • Streaming
  • Marketing Operations
  • IT Management
  • Clarity
  • Core Data
  • High Availability
  • ELT
  • Workflow
  • Data Processing
  • Mentorship
  • Data Quality
  • Data Engineering
  • Software Development
  • Python
  • SQL
  • Java
  • Scala
  • Extract
  • Transform
  • Load
  • Big Data
  • Apache Spark
  • Apache Flink
  • MapReduce
  • Distributed Computing
  • Data Warehouse
  • Data Modeling
  • SEO
  • Analytics
  • Marketing
  • Real-time
  • Law
  • Legal
  • Collaboration

Summary

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, MapReduce) and distributed computing.
4. Data warehouse and Data Modeling experience

Preferred Qualifications

1. Experience in Web and SEO Analytics
2. Experience in Marketing Technologies
3. 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 [](;br>
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](;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.
  • Dice Id: 90958168
  • Position Id: 4a08e15f9d844f49af4de0e578418832
  • Posted 1 day ago
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