Hybrid Data Engineering Intern – Build Data Pipelines

US Foods; California (MO); Hybrid; USD 25,000 - 39,000; Full time

Job summary

US Foods is offering a Summer Data Engineering Internship that provides hands-on exposure to building data pipelines and supporting analytics in a real-world food distribution environment.

Interns work under guidance to develop scalable datasets, collaborate with stakeholders, and present outcomes to business leaders at the end of the program. This paid, full‑time internship runs June–August with a hybrid onsite/remote arrangement.

Qualifications

• Currently pursuing a Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, Information Systems/Science or related area of study
• Must be enrolled in school during internship
• Typically, students currently between their Junior and Senior years or between their 1st and 2nd years of graduate school will be considered for internships
• Proven ability to model data for reporting and analytics needs
• Proven ability to analyze and understand existing processes and code
• Works and communicates effectively with all levels of management
• Excellent written, verbal, and interpersonal skills
• Must work well within team-oriented environments

Responsibilities

• Design and build large scale datasets for a wide range of consumer needs
• Build, test and implement highly efficient data pipelines using a variety of technologies
• Ensure consistent use of standard data structures
• Analyze new data sources to understand quality, availability and content
• Write technical design documentation
• Create and executes unit tests
• Supports QA team during testing

Skills

Data modeling

Data analysis

Communication

Teamwork

CI/CD tools

Self-service analytics

Semi-structured data

LLM concepts

Education

Bachelors or Masters in CS/Engineering/IS

Tools

Oracle

MySQL

Python

AWS

Linux

ETL

Cloud environments

Git/Bitbucket

Job description

US Foods is offering a Summer Data Engineering Internship that provides hands-on exposure to building data pipelines and supporting analytics in a real-world food distribution environment.

Interns work under guidance to develop scalable datasets, collaborate with stakeholders, and present outcomes to business leaders at the end of the program. This paid, full‑time internship runs June–August with a hybrid onsite/remote arrangement.