Data Engineering Intern

Coca-ColaAtlanta, GA
2d

About The Position

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.

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.
  • 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
  • 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

Nice To Haves

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

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
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