Quill AI Data Engineer Intern - June 2026 jobs in United States
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Quill · 2 weeks ago

Quill AI Data Engineer Intern - June 2026

Quill is a leader in office supplies and part of the Staples family of brands. They are seeking an AI Data Engineering Intern to work on cloud-based data platforms and big data technologies, collaborating with teams to design and optimize data pipelines for analytics and machine learning initiatives.

Business Supplies & Equipment

Responsibilities

Assist in the development and maintenance of data pipelines using tools such as Spark, Hive, and SQL
Support cloud-based data engineering tasks using AWS or Azure services
Contribute to ETL processes, data modeling, and integration of structured and semi-structured data formats (e.g., JSON, CSV)
Participate in the design and implementation of scalable data solutions for AI and machine learning projects
Collaborate with technical and business stakeholders to support data-driven decision-making
Apply problem-solving and analytical skills to troubleshoot data issues and optimize performance
Document processes and contribute to knowledge-sharing within the team

Qualification

Data EngineeringCloud PlatformsPythonSQLBig Data ToolsETL ProcessesMLOpsData ModelingCommunication SkillsProblem-SolvingCollaborationAdaptability

Required

Pursuing a master's degree in Computer Science, Data Engineering, or a related field
Familiarity with big data tools (e.g., Spark, Hive, Sqoop) and cloud platforms (AWS, Azure)
Proficient in Python, SQL, and Unix/Linux scripting
Understanding of dimensional modeling and data architecture principles
Strong communication skills and a collaborative mindset
Passion for learning new technologies and solving complex data challenges
Experience with MLOps and feature engineering infrastructure
Knowledge of prompt engineering and integration with large language models (LLMs)
Familiarity with AI-powered development tools and their integration into workflows

Preferred

Exposure to data visualization tools such as Power BI is a plus
Knowledge of monitoring and data quality frameworks
Ability to adapt quickly in a fast-paced environment

Company

We admit it, we’re your biggest fans.

Funding

Current Stage
Late Stage

Leadership Team

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Samra Cejvan
Strategic Partnerships Manager
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