Sr Software Engineer - Data Infrastructure

Uber; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Bonus Program

Equity Award

401(k) Plan

Benefits

Job summary

Uber is seeking a senior data infrastructure engineer to build and operate scalable feature stores and distributed data pipelines in a NY-based team. You will improve data quality, lifecycle operations, performance, and reliability while leading projects through production and mentoring both engineering and data science teams.

The role requires 6+ years of relevant experience, strong programming skills and SQL expertise, plus experience designing and operating large-scale data systems.

Qualifications

• 6+ years of software engineering or data infrastructure experience.
• Strong programming skills and SQL expertise.
• Experience designing and operating large-scale data systems.

Responsibilities

• Build and operate scalable feature stores and data pipelines.
• Improve data quality, lifecycle operations, performance and reliability.
• Lead projects through production and mentor engineering and data science teams.

Skills

Data Infrastructure

Python

Java

Scala

Go

SQL

Distributed Data Processing

Apache Spark

Apache Hudi

Feature Stores

Data Modeling

Data Quality

Data Observability

Workflow Orchestration

Ray

Machine Learning Infrastructure

Education

Bachelor's or Master's in Computer Science/Engineering or equivalent practical experience

Job description

Build and operate scalable feature stores, distributed data pipelines, and self-service tools supporting model training, forecasting, simulation, optimization, and planning. Improve data quality, lifecycle operations, performance, and reliability while leading projects through production and collaborating with and mentoring engineering and data science teams.

Requirements

Requires at least 6 years of relevant software engineering or data infrastructure experience, strong programming skills, SQL expertise, and experience designing and operating large-scale data systems. A bachelor's or master's degree in Computer Science, Engineering, or equivalent practical experience is required, along with the ability to deliver production projects and collaborate across teams.

Key Skills

• Data Infrastructure
• Python
• Java
• Scala
• Go
• SQL
• Distributed Data Processing
• Apache Spark
• Apache Hudi
• Feature Stores
• Data Modeling
• Data Quality
• Data Observability
• Workflow Orchestration
• Ray
• Machine Learning Infrastructure

Benefits

• Bonus Program
• Equity Award
• 401(k) Plan
• Benefits