Fall 2026 Co-op – Data Engineering

As a Fall 2026 Co-op – Data Engineering in Burlington, MA at Keurig Dr Pepper (KDP), you will be a part of the beverage revolution. You will be working in a supportive, highly technical manufacturing environment that produces some of KDP’s most recognized beverages in the industry. You will have real responsibilities and will be provided opportunities to grow professionally. Come learn what it takes to succeed at an industry-leading company and help contribute to our ongoing success. We are looking for a Data Engineer who can develop ETL data pipelines to collect data from multiple sources, process the data and leverage the same to meet various business requirements. Candidate should have sound knowledge in SQL scripting.

Shift/Schedule:

• The KDP 2026 Fall Co-op Program will run from July 13 – December 11, 2026
• Location: Burlington, MA
• Full-time; 40 hours per week
• Monday-Friday
• 8:00am until 5:00pm
• Hybrid; In office Tues- Thurs

As a Data Engineering Co-op you will:

• Create and develop optimal data pipeline using ETL tools
• Develop complex sql scripts to process and retrieve the data from data warehouse
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Optimize the data delivery and date pipelines to process big data
• Work with stakeholders including Engineering & Product Management to assist with data-related needs

Elements of the KDP 2026 Co-op Program include:

• Engaging and partnering on innovative projects to gain experience in a fast paced, cross functional team environment
• Receive mentor support for your professional development
• Participate in meet & greets and lunch & learns with KDP executives and other organization leaders
• Receive professional development training such as networking, professional skills development and presenting
• Complete a project from start to finish and present it and your takeaways to your team, department, and senior leaders to highlight your project work and impact on the business

• $31.00/ hour
• Paid bi-weekly
• $5,000.00 Sign-on Bonus, paid within first 30 days of employment

• Must be an undergraduate currently enrolled in a full-time academic program from an accredited college or university, majoring in Data Engineering, Data Science, or related fields
• Available to work 40 hours per week (M-F, 8-5) in Burlington, MA
• Excellent organizational skills and attention to detail with a demonstrated ability to manage multiple projects, prioritize requests, and meet deadlines
• Strong skills in Microsoft Excel and PowerPoint 
• Advanced SQL scripting expertise and knowledge working with relational databases, no sql databases, query authoring (SQL) as well as working familiarity with a variety of database
• Build and optimize big data pipelines, architectures and data sets
• Perform root cause analysis on data , answer specific business questions and identify opportunities for improvement
• A successful history of transforming, processing and extracting data from large data warehouse
• Strong communication skills including excellent listening, written, and verbal abilities
• Ability to work cross-functionally, be independently driven, and adapt to changes

Following skills would be considered as a plus:

• Ability to create reports using Microsoft Power BI
• Knowledge in developing machine learning data models

Please Note: You must be work authorized in the United States on a full time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1 (student) visa holders who require sponsorship in the future or cannot work now on a full time basis.

We incorporate HireVue, an automated interview tool, into our campus recruitment process. Please visit this link to learn more about HireVue and how to prepare. *We recommend checking with your campus career center for additional preparation resources such as InterviewStream, Big Interview and more

A.I. Disclosure: 
KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles.  If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to [email protected].