Data Engineering Intern
Camping World
Chicago, ILFresher36m agovia LinkedIn
Posted 14 Nov 2026, 11:37 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- OperationsSQLSnowflakeExcelMicrosoft OfficeTroubleshooting
- Work
- On-site in Chicago · internship
- Pay
- Not stated by the employer.
- Skill demand
- SQL73%Operations35%Snowflake32%Excel7%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
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About the Role
Camping World is seeking a Data Engineering intern for the summer of 2027. The intern will work closely with the Data Management office, assisting with daily operations and gaining real-world data engineering experience.
Key Responsibilities
- Partner with the Data Management Office (DMO) team.
- Perform Data Engineering tasks requiring SQL and Snowflake skills.
- Conduct Data Validation, comparing and verifying source and target data.
- Gain exposure to various aspects of automotive, retail, and Digital business.
- Complete software development in collaboration with data scientists, analysts, architects, engineers, and leadership.
- Handle new source data requests from the business.
- Undertake individual special projects to enhance knowledge and skills.
- Participate in a Capstone Internship Project with a final presentation to Executive Leadership.
Requirements & Tech Stack
- SQL
- Snowflake
- Microsoft Office Suite: Word, Excel, PowerPoint, Outlook
- Experience with software and web development
- Knowledge in Information technology (databases, system security, troubleshooting)
Qualifications
- Currently pursuing or a recent graduate with a Master’s degree in Data Science or Statistics.
- Cumulative 3.0 GPA.
- Graduation date between December 2026 - July 2028.
- Ability to work in a hybrid format in Lincolnshire, Illinois (3 days in office, 2 days remote) for 10 weeks (June 7th - August 13th, 2027).
- No relocation or housing stipends are provided.
- Excellent troubleshooting, data interpreting, and technical skills.
- Ability to maintain professional demeanor and strict confidentiality.
- Must be diligent, organized, and extremely detail-oriented.
- Thrives in a fast-paced, high-growth environment.
- Analytical, critical thinking, and problem-solving skills.
- Passion for data analytics.
- Strong written and verbal communication skills.
- Strong work ethic with research and note-taking skills.
- Ability to multitask.