**About the Role** We're looking for a passionate and experienced **Data Engineer II** who thrives on solving complex problems and building scalable systems. The ideal candidate has a strong background in designing and implementing large-scale data solutions and can independently drive projects from concept to production. You'll collaborate with engineers, analysts, and product stakeholders to understand requirements and shape data architecture that supports business goals. This is a high-impact role that demands strong communication skills, technical depth, and a proactive mindset. **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- 1. Bring industry experience in data engineering or a related field. 2. Partner with cross-functional Safety and Insurance teams across global tech hubs to deliver on Uber's strategic objectives. 3. Design and develop scalable data pipelines for real-time and batch processing to extract, clean, enrich, and load data. 4. Enhance data quality through monitoring, validation, and alerting mechanisms. 5. Continuously evolve our data architecture to support new products, features, and safety initiatives. 6. Contribute to building feature pipelines that support data science models for predictions and business decisions. 7. Own end-to-end data solutions-from requirements gathering through to production deployment. ---- Basic Qualifications ---- 1. **Bachelor's degree** in Computer Science, Engineering, or a related technical field-or equivalent practical experience. 2. **3+ years** of professional software development experience, with a strong focus in **Data Engineering and Data Architecture** . 3. Proven ability to work closely with **product managers** and **business stakeholders** to gather requirements and design scalable data infrastructure that supports cross-functional needs. 4. **Advanced SQL expertise** , including proficiency with: 5. Window functions 6. Common Table Expressions (CTEs) 7. Dynamic SQL variables 8. Hierarchical queries 9. Materialized views 10. Hands-on experience with **big data and distributed computing technologies** , such as: 11. HDFS 12. Apache Spark 13. Apache Flink 14. Hive 15. Presto 16. Strong programming skills in **Python** , with solid understanding of object-oriented programming principles. 17. Experience designing and maintaining **large-scale distributed storage and database systems** , including both **SQL and NoSQL** solutions (e.g., Hive, MySQL, Cassandra). 18. Deep understanding of **data warehousing architecture** and **data modeling** best practices. 19. Familiarity with major **cloud platforms** such as **Google Cloud Platform (GCP)** , **AWS** , or **Azure** . 20. Working knowledge of **reporting and business intelligence tools** , such as **Tableau** or similar platforms. ---- Preferred Qualifications ---- 1. Advanced experience with **SQL** , including **Spark SQL** , **Hive** , and **Presto** , with a deep understanding of query optimization and performance tuning. 2. Hands-on experience with **streaming data technologies** , such as **Apache Kafka** , **Apache Flink** , or **Spark Structured Streaming** , for building real-time data pipelines. 3. Experience working with **Apache Pinot** or similar OLAP data stores for high-performance, real-time analytics. 4. Familiarity with **Python libraries** for big data processing (e.g., **PySpark** ) and working knowledge of **Scala** in distributed data environments. 5. Practical experience in deploying and managing data solutions on **cloud platforms** such as **GCP** , **AWS** , or **Azure** . For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform