Staples Digital Solution (Technology) – Data Engineer Co-Op (Hybrid) - July 2025
Framingham, MA, United States
Staples
Staples offers free next-day delivery when you spend $35+ on office supplies & furniture, ink, printing services, computers, & promotional products for business.Staples is business to business. You’re what binds us together.
We’re searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. Do you have a passion for people and enjoy working on a collaborative team? Are you looking for an environment where your efforts directly impact business results? Well, look no further. We are looking for a smart, passionate, and driven Co-Op student to join our Staples team and you might be the person we are looking for.
This Co-Op position requires you to be in a hybrid working model (at least 3 days in the office, and 2 days remote) based at the Staples, Inc. Corporate Headquarters in Framingham, MA.
Target Start Date: July 7, 2025-December 12, 2025
Note: This Co-Op position is ONLY eligible for students enrolled in the Northeastern University graduate program.
Position Overview:
We are looking for a driven and enthusiastic Data Engineering Co-op student to join our team and support various data initiatives within Enterprise Data & AI. This is an exciting opportunity for a current college student pursuing a degree in Computer Science, Data Science, or a related field, who is eager to apply their skills in real-world scenarios. You will have the chance to work with modern data platforms such as Snowflake, DBT, Python, and Azure, and gain hands-on experience building data pipelines and models that enable data democratization.
What you bring to the table:
- Assist in the development and optimization of data pipelines integrating various data sources for analytics and reporting
- Support the implementation and maintenance of data warehousing solutions using Snowflake for large-scale data processing
- Collaborate with senior data engineers to develop and test data models and data flows that enable personalized marketing and customer engagement
- Help optimize data transformation processes using DBT, ensuring data is accurate and ready for analysis
- Contribute to data governance, quality, and security efforts, ensuring compliance with regulations like GDPR and CCPA
- Work with cloud platforms such as Azure for data storage and real-time analytics
- Collaborate with cross-functional teams (data engineers, analysts, and business stakeholders) to meet business data needs
What’s needed- Basic Qualifications:
- Pursuing a master's degree in computer science, Data Science, or a related field
- Basic understanding of data modeling, and ETL/ELT processes
- Familiarity with data warehousing concepts and cloud platforms (experience with Snowflake and Azure is a plus)
- Knowledge of SQL and Python for data-related tasks and scripting
- Strong analytical and problem-solving skills
- Ability to collaborate effectively with cross-functional teams
What’s needed-Preferred Qualifications:
- Experience working with cloud platforms (Azure preferred) through coursework or internships
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data governance Data pipelines Data Warehousing dbt ELT Engineering ETL Pipelines Python Security Snowflake SQL
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.