Data Engineering Co-op - Fall 2027 (Hybrid, $31/hr)

Keurig Dr Pepper; Burlington (MA); Hybrid; USD 36,000 - 50,000; Full time

Benefits offered by this job

Sign-on bonus

Bi-weekly pay

Job summary

Keurig Dr Pepper is offering a Fall 2027 Co-op in Data Engineering in Burlington, MA. The role focuses on building ETL pipelines, processing data, and supporting business requirements in a collaborative, technically skilled environment.

You will work 40 hours per week, hybrid in-office Tue-Thu, with mentorship, project delivery experience, and exposure to real-world data challenges in a leading beverage company.

Qualifications

• Undergraduate student enrolled in a full-time program, majoring in Data Engineering, Data Science, or related field.
• Available to work 40 hours per week in Burlington, MA (M-F, 8-5).
• Strong SQL scripting, relational and NoSQL databases, and query authoring.
• Excellent organizational and communication skills with the ability to manage multiple projects.
• Experience building and optimizing large data pipelines and data warehouses.

Responsibilities

• Create and develop data pipelines using ETL tools such as Informatica Cloud and Azure Data Factory.
• Develop complex SQL scripts to process and retrieve data from data warehouse.
• Assemble large, complex data sets to meet business requirements.
• Optimize data delivery and pipelines to process big data.
• Collaborate with Engineering and Product Management to address data needs.

Skills

SQL scripting

Data pipelines

Cross-functional collaboration

Organizational skills

Communication skills

Education

Undergraduate in Data Engineering/Data Science or related field

Tools

Informatica Cloud

Azure Data Factory

SQL Server

Snowflake

Job description

Keurig Dr Pepper is offering a Fall 2027 Co-op in Data Engineering in Burlington, MA. The role focuses on building ETL pipelines, processing data, and supporting business requirements in a collaborative, technically skilled environment.

You will work 40 hours per week, hybrid in-office Tue-Thu, with mentorship, project delivery experience, and exposure to real-world data challenges in a leading beverage company.