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 organizations 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 Bachelors Degree or Masters 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