Data Engineering Intern (Python, SQL, ETL)

Kelvolta is hiring a Data Engineering Intern to help turn messy energy and operational datasets into reliable data for analysis. The role involves building ETL pipelines, analyzing data with Python, and querying production databases to support analytics workflows.

Responsibilities:

• ETL pipelines that ingest, clean, and structure real-world energy and operational datasets
• Python-based analysis (pandas, numpy, matplotlib) on messy, real-world datasets
• SQL queries against production databases to power analytics workflows
• Judgment about data quality: deciding what a record is worth, what is safe to infer, and what has to be marked unknown

Requirements:

• Currently-enrolled (not graduated) students
• Upper-division undergraduate or graduate students in Computer Science, Data Science, Statistics, or Engineering with hands-on experience in at least two of the following: Python, SQL, ETL/data pipelines