Staples Digital Solutions (Technology) - Data Engineer Co-Op (Hybrid) - July 2025

Framingham, MA, United States

Staples

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Staples is business to business. You’re what binds us together.  

We are searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have opportunities where you will help businesses of all sizes to be more successful and productive while building a career fueled by purpose, people, and triumph. We will help you develop the technical and soft skills you need to thrive in the future. 

The Co-Op Program will be a 6-month program aimed at developing high-potential Staples leaders. The program is designed to give you real work experience, aligning you with strategic projects. The Co-Op program will provide a diverse field of responsibility and you will work directly with leaders across several business units to help drive deeper understandings of business performance and trends, as well as ensure businesses are performing in line with short and long-term objectives.

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 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:

  • Collaborative – able to build partnerships and work collaboratively with others to meet shared objectives
  • Customer Focused – able to identify and understand internal or external customer needs and interests and deliver customer-centric solutions
  • Inclusive – dedicated to fostering an inclusive environment consisting of diverse individuals from varying backgrounds and cultures
  • Innovative – develop new insights; question conventional approaches; encourage new ideas; design and implement new solutions
  • Self-Developer – actively seeks new ways to grow and be challenged using both formal and informal development channels

What you’ll be doing: 

  • Assist in the development and optimization of data pipelines integrating various data sources (e.g., 1st party, 3rd party) 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:

  • Currently 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 internship

Staples is an Equal Opportunity Employer who values the diversity of our people, products, and services.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Azure Computer Science Data governance Data pipelines Data Warehousing dbt ELT Engineering ETL Pipelines Python Security Snowflake SQL

Perks/benefits: Career development

Region: North America
Country: United States

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