
Winter 2026 Co-op – Data Engineering
- Burlington, ON
- 31,00 $ par heure
- Permanent
- Temps-plein
- The KDP 2026 Winter Co-op Program will run from January 5th - May 22nd, 2026
- Location: Burlington, MA
- Full-time; 40 hours per week
- Monday-Friday
- 8:00am until 5:00pm
- Hybrid; In office Tues- Thurs
- 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
- 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
- Ability to create reports using Microsoft Power BI
- Knowledge in developing machine learning data models
Company Overview:Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partners brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us?We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.