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Fall Co-op - Data Engineering

Job in Burlington, Middlesex County, Massachusetts, 01805, USA
Listing for: Keurig Dr Pepper
Full Time position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 26 - 36 USD Hourly USD 26.00 36.00 HOUR
Job Description & How to Apply Below

Job Overview:

Fall 2027 Co-op – Data Engineering

As a Fall
2027 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 2027 Fall Co-op Program will run from July 12th – December 10th, 2027
  • 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 such as Informatica Cloud, Azure Data Factory etc.
  • 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 2027 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
Total Rewards:
  • $31/ hour
  • Paid bi-weekly
  • $5,000.00 Sign-on Bonus, paid within first 30 days of employment
Requirements:
  • 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
  • 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
  • Excellent organizational skills and attention to detail with a demonstrated ability to manage multiple projects, prioritize requests, and meet deadlines
  • 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 are considered as a plus:

  • Ability to create reports using Microsoft Power BI, Tableau
  • Experience working with SQL Server, Snowflake

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 whorequiresponship in the future or cannot work now on a full-time basis.

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