Data Engineering Intern

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

January 31, 2026

Shift:

Job Description Summary:

Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle 

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers. 

As a Data Engineering Intern, you will support the organization by working with data pipelines, data quality initiatives, and data analysis to improve reporting and decision-making. You will assist in building and maintaining data workflows, validating and cleaning data, and performing basic analysis using data tools and systems. You will collaborate with data engineers, analysts, and business teams under the guidance of experienced professionals, gaining hands-on technical experience in a supportive and innovative environment. 
 
Function Related Activities/Key Responsibilities: 

• Assist in building, maintaining, and optimizing data pipelines using PySpark, SQL, and Python 

• Support ingestion of data from various enterprise systems 

• Perform data validation, quality checks, and monitoring to ensure data reliability 

• Collaborate with data engineers and business stakeholders to troubleshoot and resolve pipeline issues 

• Participate in data modeling, performance tuning, and optimization efforts 

• Contribute to documentation of data workflows, pipelines, and technical standards 

• Occasionally support lightweight web development tasks for internal dashboards or tools 

Education Requirements: 

• Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025

• Focus in Computer Science, Data Engineering, Software Engineering, or a related engineering discipline.  

 
Related Work Experience: 

• Prior internship, academic projects, or relevant coursework in data engineering, software development, or analytics preferred 

• Exposure to cloud platforms, particularly Microsoft Azure, is a plus 

 
Functional Skills: 

• Proficiency in Python and SQL 

• Working knowledge or coursework experience with PySpark and distributed data processing 

• Understanding of ETL/ELT concepts, data modeling, and relational databases 

• Basic web development skills (HTML, CSS, JavaScript, or similar) are a plus 

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