Senior Data Platform Engineer: ML Infra & Feature Stores

Uber; New York (NY); Presencial; USD 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bonus Program

Equity Award

401(k) Plan

Benefits

Resumo da oferta

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.

Qualificações

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

Responsabilidades

• 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.

Conhecimentos

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

Formação académica

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

Descrição da oferta de emprego

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.