Base Salary
$202k - $224k/yr
Responsibilities
- Design and evolve shared feature stores and distributed processing pipelines for forecasting, simulation, optimization, and planning workflows.
- Build validation, monitoring, and alerting systems for data freshness, completeness, and correctness.
- Develop incremental processing, historical backfills, schema evolution, data versioning, and recovery capabilities.
- Create reusable frameworks, APIs, and developer tooling for self-service feature and workflow operations.
- Optimize data-processing, storage, and orchestration performance, resource efficiency, cost, and reliability.
- Lead technical projects from ambiguous requirements through design, implementation, rollout, and ongoing production operations.
- Own production health through on-call, incident response, and long-term system improvements.
- Collaborate with modeling, financial-data, and platform teams and provide design reviews, code reviews, and technical mentorship.
Requirements
- 6+ years of professional experience in software engineering, data infrastructure, or a related technical role.
- Strong programming skills in Python, Java, Scala, Go, or a comparable language.
- Experience designing, building, and operating large-scale data pipelines or distributed data-processing systems.
- Strong SQL skills with experience in data modeling, storage systems, and query-performance optimization.
- Experience delivering technical projects from design through production rollout and ongoing operations.
- Ability to communicate technical tradeoffs and collaborate across engineering and data science teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- Preferred experience with Apache Spark or comparable distributed data-processing frameworks.
- Preferred experience with Apache Hudi or similar data lake technologies supporting incremental updates, schema evolution, and versioned datasets.
- Preferred experience building feature stores or data infrastructure for machine learning, forecasting, optimization, or simulation.
- Preferred experience developing data-quality frameworks, observability systems, or tools for tracing and reconciling data across sources.
- Preferred familiarity with workflow orchestration and distributed computing frameworks such as Ray.
- Preferred experience building self-service platforms or automation that reduces operational overhead, plus measurable improvements in reliability, performance, cost, or developer productivity.
Benefits
- Eligible to participate in Uber’s bonus program and may be offered equity awards and other compensation.
- 401(k) plan eligibility for all full-time employees.
- Various employee benefits are available.
Tech Stack
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.