Live opening · Posted 27 days ago
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As a Senior Staff Data Engineer, you will define and drive the architecture, scalability, and intelligence of Uber's delivery data systems. You will lead critical cross-organizational initiatives that govern how Uber ingests, models, secures, and governs delivery data at a global scale. Success in this role requires exceptional technical depth, architectural vision, and the ability to influence engineering and AI domains across complex ecosystems (e. g., merchant, eater, trip, feed, and search).
Responsibilities:
Build Data Products for business use cases - batch and real-time.
Metrics development for the analytical needs.
Optimizations and improvements focused on optimal resource utilization, improving SLA, and adhering to the data quality standards.
Mentor the fellow engineers on design and architecture, perform quality code review and design reviews for the data product development.
Contribute to the strategic investments from both the inception and execution points of view.
Consult and advise the product engineering teams on the data engineering practices.
Requirements:
Bachelor's or Master's degree in Computer Science or related field.
15+ years of experience building and managing large-scale distributed data systems.
Experience implementing GenAI or LLM-driven solutions for data enrichment, automation, or observability use cases.
Proficiency in multiple programming languages, such as Go, Java, Python, or Scala, and data stores such as MySQL, Cassandra, or Redis.
Proven experience designing data pipelines, data models, and data warehouses for analytical and operational use cases.
Expert in SQL and modern MPP databases (Hive, Redshift, BigQuery, Snowflake, etc. ).
Deep experience with big data ecosystems (Hadoop, Spark, Presto, Flink).
Strong understanding of distributed systems design, fault tolerance, and reliability.
Hands-on experience with data quality automation, observability tooling, and CI/CD integration for data systems.
Solid technical leadership abilities, and comfortable working with various stakeholders to ensure adoption/impact.
Excellent written and verbal communication skills, including the ability to write detailed technical documents.
Demonstrated ability to mentor engineers, foster collaboration, and build a strong technical culture.
Experience
15-19 yrs
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