Data Engineer Intern (Hybrid) - June 2026
Framingham, Massachusetts, États-Unis
Faire une demandeStaples 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 GCP).
- Coursework or projects involving data pipelines, ML, or distributed systems.
- Enjoy working in teams and being highly communicative
Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.
Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.
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