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Internship Python Mechanical Engineering Jobs in Lisle, IL

Follett

Team Lead, Python/Django Engineer

Westchester, IL · On-site

$138K - $170K/yr

Sprint mechanics, hiring, and formal performance management are owned by the Engineering Manager ... for Python/Django services, and set the engineering standard through hands-on code. * Guide and ...

Hendrickson USA, LLC

Engineering Intern

Woodridge, IL · On-site

$16.50 - $21.50/hr

Enrolled college student in an electrical engineering, mechanical engineering, or computer ... Familiarity with programming languages such as C++, Java, and/or Python. * Proficiency in Microsoft ...

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Internship Python Mechanical Engineering information

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How much do internship python mechanical engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship python mechanical engineering in Lisle, IL is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $23.94 per hour, depending on experience, location, and employer.

What is an internship Python mechanical engineering?

Internship Python Mechanical Engineering positions are temporary roles for students or recent graduates in mechanical engineering, where they gain practical experience by applying Python programming to engineering problems. These internships typically involve tasks such as data analysis, automation, simulation, and modeling using Python. Interns work under the supervision of experienced engineers and may contribute to ongoing projects, helping them develop both technical and professional skills. These positions are valuable for building resumes and exploring career paths in industries that combine mechanical engineering with programming.

What are the key skills and qualifications needed to thrive as an internship Python mechanical engineering?

To thrive in an Internship Python Mechanical Engineering role, you typically need a foundation in mechanical engineering principles, a working knowledge of Python programming, and current enrollment in or recent graduation from an engineering program. Familiarity with CAD software, simulation tools like ANSYS or SolidWorks, and data analysis libraries in Python (such as NumPy and Matplotlib) is often required. Strong problem-solving abilities, effective communication, and teamwork skills help you stand out in collaborative and project-driven environments. These competencies ensure you can contribute to technical projects, analyze engineering data, and support innovation within multidisciplinary teams.

What is the difference between Internship Python Mechanical Engineering vs Mechanical Engineering Intern?

AspectInternship Python Mechanical EngineeringMechanical Engineering Intern
Required CredentialsBasic programming skills, knowledge of Python, relevant courseworkMechanical engineering coursework, basic technical skills
Work EnvironmentSoftware development, data analysis, simulation projectsDesign labs, manufacturing settings, testing environments
Industry UsageTech companies, engineering firms with software componentsManufacturing, automotive, aerospace industries
Common Search/ComparisonFocus on programming and software skills in mechanical projectsFocus on traditional mechanical engineering tasks

The Internship Python Mechanical Engineering typically emphasizes programming skills in Python applied to mechanical projects, often within software or tech-driven environments. In contrast, a Mechanical Engineering Intern focuses on traditional mechanical design, testing, and manufacturing tasks. Both roles are valuable in engineering fields but differ in skill requirements and work settings.

What types of projects do interns typically work on during a Python mechanical engineering internship?

During a Python Mechanical Engineering internship, interns are often assigned to projects that integrate programming skills with mechanical engineering concepts. Typical tasks may include automating data analysis from experiments, developing scripts to optimize simulation processes, or creating tools for design validation. Interns usually collaborate closely with engineers and data analysts, gaining exposure to real-world engineering problems and the opportunity to contribute meaningfully to ongoing projects. This hands-on experience helps interns build both technical and teamwork skills that are valuable for a future career in the field.
What are popular job titles related to Internship Python Mechanical Engineering jobs in Lisle, IL? For Internship Python Mechanical Engineering jobs in Lisle, IL, the most frequently searched job titles are:
What job categories do people searching Internship Python Mechanical Engineering jobs in Lisle, IL look for? The top searched job categories for Internship Python Mechanical Engineering jobs in Lisle, IL are:
What cities near Lisle, IL are hiring for Internship Python Mechanical Engineering jobs? Cities near Lisle, IL with the most Internship Python Mechanical Engineering job openings:
Internship Python Mechanical Engineering jobs near you

Quantitative Developer Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 16 days ago

Job description

This is a 10 week internship available all seasons of the year.
What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.