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 intern to join our Staples team and you might be the person we are looking for.
This intern 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: June 2, 2025 - August 15, 2025 (11-week program)
Position Overview
We are looking for a driven and enthusiastic Data Engineering Co-op/Intern 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 (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
- Pursuing a Bachelor’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.