Internship - Engineering - Summer 2027

ADP, Inc.; Columbus (OH); On-site; USD 28,000 - 36,000; Full time

Job summary

OnSite Partners is seeking an energetic Engineering Intern for Summer 2027 in Columbus, OH. The role provides hands-on experience in data analysis, reporting, and participating in engineering tasks.

Ideal candidates are Engineering students (Mechanical or Electrical) proficient in Excel, with exposure to cloud data structures and API calls, and strong teamwork and communication skills.

Qualifications

• Engineering student; Mechanical or Electrical preferred.
• Proficient in data analysis and Excel.
• Familiar with cloud data structures and API calls or willing to learn.
• Ability to work in a team with good communication.

Responsibilities

• Organize data and compare the performance of energy technologies.
• Develop recommendations and track future performance data.
• Compare initial simulation models to actual project performance.
• Analyze the impact of environmental variables on performance and identify causes of variances.
• Provide recommendations on engineering design standards.
• Support process automation and continuous improvement initiatives.

Skills

Self-starting

Analytical skills

Excel

Team collaboration

云?

Education

Engineering – Mechanical or Electrical

Tools

Cloud-based data structures

API calls

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Internship - Engineering - Summer 2027

Project Services Columbus, OH, US

Salary Range: $20.00 To $26.00 Hourly

OnSite Partners is looking for a self-starting, analytical student interested in learning about energy solutions. The intern will gain experience analyzing data, preparing reports, participating in engineering tasks and problem solving.

Examples of projects may include:

• Organizing data and comparing the performance of energy technologies.
• Developing recommendations and tracking future performance data.
• Comparing initial simulation models to actual project performance.
• Analyzing the impact of environmental variables on performance and identifying causes of variances.
• Providing recommendations on engineering design standards.
• Supporting process automation and continuous improvement initiatives.

The ideal candidate should be curious, collaborative and be ready to work with project managers and engineers to analyze, recommend and build solutions.

Qualifications:

• Student studying Engineering – preferably Mechanical or Electrical
• Skilled in analysis and knowledgeable of excel
• Familiar with cloud-based data structures and API calls or willingness to learn
• Ability to work in a team environment with solid communication skills