Grid Integration & Analysis Intern (Summer 2027)

Pattern Energy

Houston (TX)

On-site

USD 36,000 - 39,000

Full time

2 days ago
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Job summary

Pattern Energy is seeking a curious Grid Integration & Analysis Intern for our Houston office to gain hands-on experience with power system data, modeling, and grid analysis supporting renewable energy development.

You will collaborate with the Grid Integration team to develop databases, run models, and analyze inputs and outputs, while strengthening coding and data analytics skills for future careers in energy analytics and grid planning.

Qualifications

  • Exposure to programming or scripting languages such as Python, R, or similar tools.
  • Strong analytical and quantitative problem-solving abilities.
  • Excellent communication, organization, and collaboration skills.

Responsibilities

  • Develop, maintain, organize, and quality-control databases and datasets used for grid analyses.
  • Assist with power system modeling and analytical activities evaluating transmission systems and grid conditions.
  • Prepare, process, and analyze model inputs and outputs.
  • Use coding and automation to improve data workflows and modeling efficiency.
  • Explore modern coding approaches to enhance internal analytical tools and workflows.
  • Research and evaluate grid planning, transmission, and power market information.
  • Contribute to other projects and initiatives based on business needs.

Skills

Python
R
Analytical skills
Communication

Education

Electrical Engineering or Computer Science or Data Science or Mathematics or Physics or Energy Systems (related field)

Job description

Company Overview

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence.


Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises.


Headquartered in the United States, Pattern has a global portfolio of more than 30 power facilities and transmission assets, serving various customers that provide low-cost clean energy to millions of consumers.


Internship Purpose

Pattern Energy is seeking a curious and analytical Grid Integration & Analysis Intern to join our team in our Houston office. This internship will provide hands-on exposure to how power system data, modeling, and analytical tools are used to evaluate the electric grid and support renewable energy development.


The intern will work alongside the Grid Integration team to support database development and maintenance, power system modeling, and grid analysis activities. Through this experience, the intern will strengthen technical skills in coding, data analysis, and power systems fundamentals while gaining practical exposure to grid planning and the integration of renewable energy resources.


Internship Accountabilities


  • Support the development, maintenance, organization, and quality control of databases and datasets used for grid analyses.


  • Assist with power system modeling and analytical activities that help the team evaluate transmission systems, interconnection opportunities, and grid conditions.


  • Support the preparation, processing, and analysis of model inputs and outputs.


  • Use coding and automation techniques to improve data workflows, analytical processes, and modeling efficiency.


  • Explore modern coding approaches to help develop and enhance internal analytical tools and workflows.


  • Work with team members to research and evaluate grid planning, transmission, and power market information.


  • Participate in other projects and initiatives based on business needs.



Internship Learning & Development Opportunities:

Through this internship, you will gain hands‑on experience supporting real-world grid analysis and renewable energy development while building technical capabilities that can translate into careers in power systems, energy analytics, transmission planning, and grid integration.



  • Develop practical skills in coding, data management, and analytical automation.


  • Build foundational knowledge of power systems, including power flow, circuit theory, transmission systems, and grid planning.


  • Gain exposure to power system modeling tools, datasets, and analytical workflows


  • Learn how technical grid analysis informs renewable energy development and business decisions.


  • Collaborate with experienced professionals while contributing to meaningful projects



Education/Experience Required


  • Currently pursuing a bachelor's or graduate degree in Electrical Engineering, Computer Science, Data Science, Mathematics, Physics, Energy Systems, or a related technical field.


  • Interest in power systems, renewable energy, transmission, grid planning, or energy markets.


  • Exposure to programming or scripting languages such as Python, R, or similar tools.


  • Coursework in circuit theory, power systems, data analytics, modeling, or a related technical area preferred.


  • Strong analytical, quantitative, and problem‑solving skills.


  • Ability to organize and work accurately with technical data.


  • Curiosity and willingness to learn new technologies and analytical methods


  • Strong communication, organization, and collaboration skills.



The expected starting pay rate for this role is $26.00 - $28.00 USD/Hour. This range is an estimate and pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education.


Pattern Energy Group is an Equal Opportunity Employer.
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