Data Engineer Growth and Marketing Platform
Uber
Job Overview
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Job Description
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
- 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.
Basic Qualifications
- 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
Preferred Qualifications
- Experience in Web and SEO Analytics
- Experience in Marketing Technologies
- Designing and executing on Real-time and Near Real-time Systems
Key skills/competency
- Data Engineering
- Python
- SQL
- Java
- Scala
- Big Data Frameworks
- Spark
- Flink
- Data Warehousing
- Data Modeling
How to Get Hired at Uber
- Tailor your resume: Highlight your experience with Python, SQL, Big Data frameworks, and data warehousing, emphasizing accomplishments relevant to growth and marketing platforms.
- Showcase your impact: Quantify your achievements in data engineering, detailing how your work improved data pipelines, system performance, or business outcomes.
- Prepare for technical interviews: Brush up on Big Data concepts, data modeling, distributed systems, and be ready to discuss your experience with Spark, Flink, or similar technologies.
- Understand Uber's domain: Research Uber's business, its growth strategies, and how data plays a role in marketing initiatives to demonstrate your understanding during the interview.
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