Intern - Data Engineer, M&A (Hybrid : Onsite & Remote)

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE

Join Our Community of Food People!

The US Foods Summer Internship Program provides a forum for students to apply classroom skills and academic training in a real-world business environment. In addition to being assigned business-impacting projects throughout the summer, students will be matched with a manager who will meet with them on a regular basis to provide direction on assignments as well as deliver performance feedback and a mentor who will be available to offer day-to-day guidance and support.

Interns will also get exposure to US Foods executive leadership; have an opportunity to participate in learning and social events with other interns across business functions and have an opportunity to deliver an end of summer presentation to showcase their accomplishments with key business leaders.

US Foods internships are full-time paid positions (40 hours per week from June - August) with the possibility of transitioning to a full-time position post-graduation dependent on availability and overall performance.

This position has been segmented as Hybrid meaning the work is a combination of onsite and remote.

Please note : We are unable to provide internships to students that require sponsorship for employment visa status (e.g., OPT, F-1, H-1B or any other visa status) now or in the future.

Local candidates are encouraged to apply. For qualified students whose permanent home of record is located outside 50 miles from US Foods Corporate HQ, a sign-on bonus will be offered to partially offset housing costs for the summer.

BASIC PURPOSE :

With direct supervision and oversight, this intern position provides exposure and opportunity to investigate a career, gain business knowledge and practical application of data engineering within the food distribution industry.

The Data Engineering Intern (Mergers & Acquisitions) is responsible for the development and implementation of data pipeline solutions to support the organization’s reporting, analytics, and other data needs. The Data Engineering Intern (M&A) is also responsible for analyzing existing data pipelines leveraged during M&A integration process and developing recommendations for improvement. The developer will work closely with stakeholders across functional areas to deliver well-structured data in a reliable, efficient, and timely way.

ESSENTIAL DUTIES AND 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

BASIC REQUIREMENTS :

Currently pursuing a Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, Data Science, 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

PREFERRED SKILLS :

Proficiency in one or more of the following :

SQL

Oracle, MySQL, other relational databases

Python

AWS (ERM, Lambda, IAM, S3)

Linux

Familiarity with :

Use of CI / CD tools (Chef, Jenkins, Bamboo, Git / Bitbucket)

Supporting self-service reporting and analytics

Working with semi-structured data

Excel

Nice to have :

Snowflake

Airflow

R or Pandas

API development (Mulesoft)

Machine Learning

Tableau

Alteryx

Kinesis or Kafkta

ADDITIONAL REQUIREMENTS :

Must have regular, reliable method of transportation to commute to US Foods’ location.

RELATIONSHIPS INTERNAL / EXTERNAL MAY INCLUDE :

Internal : Core Team, Internal Business Clients

External : Vendors

EOE – Race / Color / Religion / Sex / Sexual Orientation / Gender Identity / National Origin / Age / Genetic Information / Protected Veteran / Disability Status