Data Engineer Intern (Hybrid) - June 2026

  • Framingham, MA
  • Posted 2 days ago | Updated 6 hours ago

Overview

Remote
On Site
Full Time

Skills

Business-to-business
Innovation
Soft Skills
Partnership
ELT
Data Modeling
Databricks
Workflow
Orchestration
Tidal
Debugging
Reporting
PySpark
Scripting
Extract
Transform
Load
Data Validation
Extraction
Dashboard
Documentation
SQL
Python
Data Engineering
Artificial Intelligence
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Adaptability
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Machine Learning (ML)
SAP BASIS
Law

Job Details

Job Description

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. We have student and graduate opportunities where you'll help the Staples, Inc. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, co-op, or an entry-level role, we'll help you develop the technical and soft skills you need to thrive in the future.

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:
  • Build & Optimize Pipelines - Assist in developing ETL/ELT workflows using Azure Data Factory, Python, SQL, and PySpark.
  • Data Transformation - Implement business logic and data modeling within Databricks and Delta Lake.
  • Workflow Orchestration - Work with tools such as Airflow or Tidal to schedule, monitor, and troubleshoot jobs.
  • SQL Development - Write, debug, and optimize queries for reporting, validation, and transformation tasks.
  • Automation & Validation - Contribute to Python/PySpark scripts for ETL, data validation, and automation.
  • AI/ML Data Prep - Prepare datasets for ML models (feature extraction, cleansing, transformation).
  • Model Integration - Support experiments by integrating ML model outputs into pipelines and dashboards.
  • Documentation & Quality - Participate in validation, reconciliation, and documentation to ensure accuracy and consistency.

What's needed - Basic Qualifications:
  • Pursuing a master's degree, enrolled as a full-time student carrying a minimum of 12 college credits
  • Strong foundation in SQL and Python programming.
  • Good understanding of data engineering concepts
  • Understanding and Interest in AI/ML and applying data to solve real business problems
  • Strong analytical, problem-solving, and communication skills
  • Team-oriented, eager to learn, and adaptable

Preferred Qualifications:
  • Familiarity with cloud data platforms (Azure, AWS, or Google Cloud Platform).
  • Coursework or projects involving data pipelines, ML, or distributed systems.
  • Enjoy working in teams and being highly communicative

About Us

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