Data Engineering Internship - Summer 2026
- ARB USA ARG Resources LLC
- Atlanta Support Center
- 7mo ago
- Part-Time
- On-site
Overview
At Inspire Brands, we’re building something bigger than just brands—we’re building connections, innovation, and growth. As a Data Engineering Intern, you’ll gain hands-on experience working with large-scale data platforms that power insights across our family of brands. This role is designed for students who love solving problems with data, collaborating with cross-functional teams, and making an impact through technology.
Key Responsibilities
Assist in designing, developing, and optimizing data pipelines that support analytics and business intelligence across Inspire Brands.
Work with modern tools and technologies (e.g., SQL, Python, Spark, Databricks, AWS/Azure) to clean, transform, and structure data for analysis.
Partner with analysts and engineers to understand requirements and translate them into scalable data solutions.
Perform exploratory data analysis to identify trends, anomalies, and insights that inform business decisions and improve data models.
Contributing to AI proof-of-concept (POC) initiatives, such as agent development work and prototyping lightweight orchestration, evaluating feasibility, and preparing datasets for experimentation.
Support quality assurance by validating data accuracy, troubleshooting issues, and documenting processes.
Contribute to team projects that enhance Inspire’s data infrastructure and enable better decision-making.
Take part in mentorship sessions, professional development workshops, and networking events hosted by Inspire’s Early Careers team
Qualifications
Pursuing a Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, or a related field.
Strong knowledge of SQL and proficiency in at least one programming language (Python preferred).
Familiarity with data modeling, ETL processes, or cloud data platforms (AWS, Azure, or GCP).
Analytical mindset with a strong attention to detail.
Excellent communication skills and the ability to work collaboratively in a team environment.