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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.
Job Responsibility:
Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics
Lead the development of core data infrastructure, ensuring high availability, performance, and reliability
Solve complex challenges at the intersection of low latency, high correctness, and full determinism
Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks
Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering
Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security
Requirements:
4+ years of experience in data engineering or backend software development
Proficiency in Python, SQL, Java, or Scala for data pipeline development
Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing
Data warehouse and Data Modeling experience
Nice to have:
Experience in Web and SEO Analytics
Experience in Marketing Technologies
Designing and executing on Real-time and Near Real-time Systems
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan