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Data Engineering Intern Job Opening In Colorado Springs – Now Hiring Keysight Technologies


Job description

Overview


Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.

Our ~15, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 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.


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.


  • 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.

  • Candidates who wish to be considered must be currently enrolled in a accredited college/university as of September .

    Applicants who have graduated before September 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.

    California Pay Range: $29.01-31.24 per hourBased on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed above.Note: For other locations, pay ranges will vary by region.

    Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineering Potential: Insight & Career Growth Guide


    Real-time Data Engineering Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Colorado Springs, United States, highlighting market share and opportunities for professionals in Data Engineering roles.

    75772 Jobs in United States
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    291 Jobs in Colorado Springs
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    Download Data Engineering Jobs Trends in Colorado Springs and United States

    Are You Looking for Data Engineering Intern Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Keysight Technologies adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Engineering Intern Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Colorado Springs. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Engineering Intern?

    Key qualifications for Data Engineering Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Engineering Intern Job Success

    Keysight Technologies interview tips for Data Engineering Intern

    Here are some tips to help you prepare for and ace your Data Engineering Intern job interview:

    Before the Interview:

    Research: Learn about the Keysight Technologies's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Final Thought:

    To prepare for your Data Engineering Intern interview at Keysight Technologies, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Keysight Technologies's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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