Data Engineering Intern - June 2025 (Hybrid)

  • Framingham, MA
  • Posted 20 days ago | Updated 2 days ago

Overview

On Site
Full Time

Skills

Business-to-business
Innovation
IMPACT
Mergers and acquisitions
Data engineering
Artificial intelligence
Optimization
Reporting
Data processing
Data flow
Marketing
Customer engagement
Transformation
Data governance
Regulatory Compliance
Data storage
Real-time
Analytics
Business data
Computer science
Data Science
Data modeling
Extract
transform
load
ELT
Data warehouse
Snow flake schema
SQL
Python
Data
Scripting
Analytical skill
Problem solving
Collaboration
Cloud computing
Microsoft Azure
Exceed

Job Details

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.

At Staples, inclusion" is an action word. It represents what we do to ensure that all employees feel valued and supported to contribute to their fullest potential. When we operate inclusively, diversity naturally follows. This is why we work hard to foster an inclusive culture, as we seek employees with unique and varied perspectives and areas of expertise. The result is a better workplace and innovative thinking that helps us exceed our customers' expectations -- through the power of the people behind our iconic brand.

Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.