Data Engineering Intern
Coca-Cola
Qualifications
Education
Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025 in Computer Science, Data Engineering, Software Engineering, or a related engineering discipline.
Responsibilities
Primary Duties
- Assist in building, maintaining, and optimizing data pipelines using Azure Data Factory (ADF) and Databricks
- Develop, transform, and analyze datasets using PySpark, SQL, and Python
- Support ingestion of data from global manufacturing plants and 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
About This Role
We are seeking a highly motivated Data Engineering Intern to support data platform development and analytics initiatives within Commercial Product Supply (CPS). CPS oversees manufacturing plants globally and is responsible for ensuring reliable, efficient, and compliant product supply across regions. This role offers hands-on experience working with global data systems that support plant operations, supply chain visibility, and business decision-making.
Experience Requirements
Required
Prior internship, academic projects, or relevant coursework in data engineering, software development, or analytics preferred.
Preferred
Exposure to cloud platforms, particularly Microsoft Azure, is a plus.
Required Skills
Technical Skills
Soft Skills
Full Job Description
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
January 23, 2026
Shift:
Job Description Summary:
Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle.
We are seeking a highly motivated Data Engineering Intern to support data platform development and analytics initiatives within Commercial Product Supply (CPS). CPS oversees manufacturing plants globally and is responsible for ensuring reliable, efficient, and compliant product supply across regions. This role offers hands-on experience working with global data systems that support plant operations, supply chain visibility, and business decision-making.
Function Related Activities/Key Responsibilities:
- Assist in building, maintaining, and optimizing data pipelines using Azure Data Factory (ADF) and Databricks
- Develop, transform, and analyze datasets using PySpark, SQL, and Python
- Support ingestion of data from global manufacturing plants and 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 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
- Familiarity with Databricks and Azure Data Factory (ADF)
- Understanding of ETL/ELT concepts, data modeling, and relational databases
- Basic web development skills (HTML, CSS, JavaScript, or similar) are a plus
Soft Skills:
- Strong analytical and problem-solving skills
- Eagerness to learn and adapt in a fast-paced, global environment
- Effective written and verbal communication skills
- Ability to collaborate with cross-functional and geographically distributed teams
- Strong attention to detail and commitment to data quality
Monthly Salary (undergraduate): $4,506
Monthly Salary (graduate): $6,066
Location: Atlanta, Georgia
Dates of Internship: May 18 - July 31, 2026





