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Data Engineer Intern Jobs in Champaign, IL (NOW HIRING)

Carle Health

Registered Dietitian

Urbana, IL · On-site

$31.50 - $42.25/hr

Participates in the review of the Patient Satisfaction Data and contributes to the development of ... in intern Case Study Presentations, taking turn in being a preceptor Assists in doing intern ...

All JobsData Engineer Intern JobsData Engineer Intern Jobs in Champaign, IL

Data Engineer Intern information

See Champaign, IL salary details

$13

$25

$38

How much do data engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data engineer intern in Champaign, IL is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

What is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.
What are the most commonly searched types of Data Engineer jobs in Champaign, IL? The most popular types of Data Engineer jobs in Champaign, IL are:
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What cities near Champaign, IL are hiring for Data Engineer Intern jobs? Cities near Champaign, IL with the most Data Engineer Intern job openings:
Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Champaign, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,944 per year, or $25.5 per hour.

PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia

Champaign, IL • On-site

Full-time

Re-posted 18 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 243 rated software companies

Job description

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture!


NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, inference and database GPU systems, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.


What you'll be doing:

  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.
  • Understand and analyze the interplay between application, operating systems, CPU and GPU architectures, and efficient algorithm designs.
  • Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.
  • Publish original research and speak at conferences and events.

What we need to see:

  • Currently pursuing a Ph.D. in CE/CS/EE or similar program area.
  • Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU-native database engines, and vector similarity search algorithms.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

Ways to stand out from the crowd:

  • Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
  • Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
  • A strong publication, patent, presentation, and research collaboration history is highly valuable.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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