Data Engineering Intern
LocationWake County, NC
Work modeon-site
Typeinternship
SeniorityEntry
Company size10,000+ people
PostedOct 5, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Rising senior or graduate student majoring in Computer Science, Data Analytics, Statistics, Mathematics, or a related field with a minimum 3.0 GPA
Experience with Python, SQL or similar programming languages
Experience with Git for collaborative development
Experience or familiarity with Spark preferred but not required
Exposure to cloud platforms like Azure or AWS for data storage and compute preferred but not required
Skills
Python
SQL
Git
Spark
Azure
AWS
Agency
Division
Job Classification Title
Administrative Associate I (S)
Position Number
Grade
NC01
About Us
North Carolina State Government is one of the state’s largest employers, with over 76,000 employees all working toward a common goal: a safer and stronger North Carolina. We are a large organization comprised of various agencies, offices, and universities, each providing important public services.
Eligible state employees are entitled to comprehensive benefits, including a variety of leave options, professional development opportunities, insurance, and more. To learn more about the benefits of being a North Carolina state employee, visit the N.C. Office of State Human Resources’ website.
Permanent, temporary, and time-limited state government jobs can be found from the mountains to the coast. Find your next opportunity today!
Description of Work
About the role
Are you seeking to learn the importance of Data Engineering within the public sector?
The North Carolina Office of the State Auditor is searching for an intern to serve on our Data Analytics Team. Within this internship you will gain hands-on experience through directly working on projects assigned to the Data Engineering Team.
As a Data Engineering Intern, you will work on projects that focus on building and optimizing data pipelines and infrastructure to support audit and oversight activities. You’ll assist in designing, developing, and maintaining ETL processes that transform raw data into structured, reliable datasets for downstream analysis. In addition, you’ll help implement data quality checks, improve data workflows, and contribute to the integration of diverse data sources. These projects will give you hands-on experience with data engineering best practices, including automation, scalability, and performance optimization, while supporting real-world audit objectives.
Knowledge Skills and Abilities/Management Preferences
Qualifications
•
Rising senior or graduate student majoring in Computer Science, Data Analytics, Statistics, Mathematics, or a related field with a minimum 3.0 GPA
•
Experience with Python, SQL or similar programming languages
•
Experience with Git for collaborative development
•
Experience or familiarity with Spark preferred but not required
•
Exposure to cloud platforms like Azure or AWS for data storage and compute preferred but not required
Program Details
•
Spring 2027
•
Competitive hourly rate
•
Internship will be hosted in the Raleigh headquarters office
How to Apply
Attach the 3 following supplemental documents when applying to the internship
•
Resume
•
Copy of Transcript
•
Faculty/professor letter of recommendation(s) – minimum of one
Application Deadline: Friday, October 30th, 2026
Candidates selected for interview will be contacted by Monday, November 30, 2026