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Summer Engineering Internship Jobs in Spring, TX

Intern - Land Development

Houston, TX

$14.50 - $19.50/hr

LJA INTERNSHIP EXPERIENCE Our summer internship program runs from mid-May through the first week of ... As a Civil Engineering Intern at LJA Land Development , you will gain hands-on exposure to real ...

Water Engineering Intern

Houston, TX

$16 - $20.75/hr

Internship Description:    * Work alongside and be mentored by experienced water professionals ... Garver Launch Program Elevate your summer experience with our immersive hands-on intern development ...

Water Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

Internship Description: * Work alongside and be mentored by experienced water professionals and ... Garver Launch Program Elevate your summer experience with our immersive hands-on intern development ...

Internship Description: * Work alongside and be mentored by experienced structural building design ... summer experience with our immersive hands-on intern development program. With Garver, you will:

Buildings Structural Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

Internship Description: * Work alongside and be mentored by experienced structural building design ... summer experience with our immersive hands-on intern development program. With Garver, you will:

2025 - Summer Intern Co-op Conversion

Houston, TX · On-site

$14.25 - $19/hr

Functional Talent Scouts (function or engineering subfunction), who are CC03 or higher employees ... S. Early Careers Interns/Co-ops (salaried students). Please note - this is a generic requisition ...

Showing results 41-60

Summer Engineering Internship information

See Spring, TX salary details

$9

$17

$26

How much do summer engineering internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for summer engineering internship in Spring, TX is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a summer engineering intern, and why are they important?

To thrive as a Summer Engineering Intern, you need a foundational understanding of engineering principles, problem-solving skills, and coursework in your chosen engineering discipline. Familiarity with CAD software, programming languages, or lab equipment—depending on the field—as well as experience with tools like MATLAB or SolidWorks, is often expected. Strong communication, teamwork, and a willingness to learn help interns stand out and integrate quickly into project teams. These skills and qualities are important for contributing meaningfully to projects, adapting to new challenges, and maximizing the learning experience during the internship.

What types of projects does a summer engineering intern typically work on, and how much autonomy do they have?

Summer Engineering Interns are often assigned to support ongoing projects alongside experienced engineers, working on tasks such as data analysis, prototyping, testing, or process improvements. Interns usually have defined responsibilities within a project team, but they are also encouraged to contribute ideas and take initiative on small assignments under supervision. The level of autonomy can grow as interns demonstrate reliability and technical competence, allowing them to manage portions of a project independently while receiving regular guidance and feedback from mentors.

What is a summer engineering internship?

A Summer Engineering Internship is a temporary, often paid, position offered to students or recent graduates in engineering. These internships typically last for 8-12 weeks during the summer and provide hands-on experience in various engineering fields, such as mechanical, electrical, civil, or software engineering. Interns work on real-world projects under the supervision of experienced engineers, helping them apply classroom knowledge, develop technical skills, and explore potential career paths. Completing a summer engineering internship can also improve a student's resume and increase their chances of securing a full-time job after graduation.

What is the difference between Summer Engineering Internship vs Engineering Co-op?

AspectSummer Engineering InternshipEngineering Co-op
DurationTypically 8-12 weeks during summerUsually 4-12 months, alternating semesters
Work EnvironmentProject-based, temporary placement in industryIntegrated with academic schedule, ongoing work
CredentialsEnrolled in an engineering program, no certification requiredEnrolled in an engineering program, may require academic credit
PurposeGain industry experience, explore career optionsApply academic knowledge, earn academic credit, build long-term relationships

While both Summer Engineering Internships and Engineering Co-ops provide valuable industry experience for engineering students, internships are typically shorter, summer-only roles focused on project work. Co-ops are longer, integrated with academic schedules, and often involve multiple work terms, offering deeper industry immersion and academic credit opportunities.

What are popular job titles related to Summer Engineering Internship jobs in Spring, TX?

For Summer Engineering Internship jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Summer Engineering Internship jobs in Spring, TX look for?

The top searched job categories for Summer Engineering Internship jobs in Spring, TX are:

What cities near Spring, TX are hiring for Summer Engineering Internship jobs?

Cities near Spring, TX with the most Summer Engineering Internship job openings:

Infographic showing various Summer Engineering Internship job openings in Spring, TX as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $35,751 per year, or $17.2 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 24 days ago


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.