Overview

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‍‍Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Keysight is looking for a college intern who is passionate about data and excited about building the foundation for modern analytics. As a Data Engineering Intern, you will support our Data & Analytics team in designing, developing, and optimizing data pipelines and systems that enable trusted, scalable insights across the company.

This role primarily focuses on learning and contributing to projects in our Snowflake-first data ecosystem, assisting with data ingestion and transformation, and helping ensure data quality and governance. You will gain exposure to state-of-the-art tools in cloud data platforms, semantic layers, and data cataloging.

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‍Responsibilities‍

• Assist in building and maintaining data pipelines using SQL, Python, and ETL/ELT frameworks.
• Support ingestion and transformation of structured and semi-structured data into Snowflake.
• Participate in projects involving data modeling, semantic layers, and metadata management.
• Contribute to data quality checks and validation to ensure trusted and reliable reporting.
• Collaborate with cross-functional teams on analytics and reporting needs.
• Explore opportunities for process automation and performance optimization in data workflows.
• Additional learning opportunities in modern data engineering tools (e.g., dbt, Atlan/Alation, Tableau) as available.

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‍Qualifications‍

• Strong analytical skills with attention to detail.
• Good communication and problem-solving skills.
• Familiarity with databases and SQL; exposure to Python or similar scripting languages.
• Understanding of cloud data platforms (Snowflake, AWS, Azure, or GCP) is a plus.
• Knowledge of BI/reporting tools (Tableau, Power BI) is beneficial.
• Team-oriented mindset with a willingness to learn new technologies quickly.
• Currently enrolled in college with a major in Computer Science, Data Science, Information Systems, or related field. May consider business majors with an Information Systems or Data Analytics concentration.

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Candidates who wish to be considered must be currently enrolled in a accredited college/university as of September 2026. Applicants who have graduated before September 2026 will not be considered unless they are starting a MS or PHD program after graduating.

Visa Sponsorship is not available for this position. Candidates who now or at any point in the future require sponsorship for post internship employment visa status (e.g., H-1B Visa status) may not be considered.

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