Utility Analytics Intern: Python & SQL in Energy Data Remote

Sentient Energy Inc; San Jose (CA); Hybrid; USD 27,552 - 41,328; Full time

Job summary

Sentient Energy Inc is seeking a motivated Intern for their Utility Analytics team in San Jose, CA. This internship provides hands-on experience with Python and SQL in analyzing real-world data from electric utility systems. As an intern, you will collaborate with engineers, write scripts, and develop SQL queries to support analytics projects. Ideal candidates are pursuing degrees in STEM fields and have a solid understanding of programming and data analysis concepts. This role offers mentorship and exposure to modern analytics in power systems.

Qualifications

• Working knowledge of Python, preferably with pandas and numpy.
• Basic to intermediate SQL skills with understanding of queries and joins.
• Strong problem-solving skills with attention to detail.
• Ability to learn quickly and collaborate in a team environment.

Responsibilities

• Write and maintain Python scripts for data cleaning and visualization.
• Develop and optimize SQL queries for data analysis.
• Assist in building data pipelines and analytical workflows.
• Support analysis of electric grid and sensor data.
• Create reports, charts, and summaries to communicate findings.
• Collaborate on real utility analytics projects.

Skills

Python

SQL

Data Analysis

Problem-Solving

Education

Bachelor’s or post-graduate degree in Electrical Engineering, Data Science, Computer Science, or related STEM field

Tools

AWS

Data Visualization Tools

Git

Job description

Sentient Energy Inc is seeking a motivated Intern for their Utility Analytics team in San Jose, CA. This internship provides hands-on experience with Python and SQL in analyzing real-world data from electric utility systems. As an intern, you will collaborate with engineers, write scripts, and develop SQL queries to support analytics projects. Ideal candidates are pursuing degrees in STEM fields and have a solid understanding of programming and data analysis concepts. This role offers mentorship and exposure to modern analytics in power systems.