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Internship Python Jobs in Texas (NOW HIRING)

Fervo Energy

Data Science Internship

Houston, TX

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn ...

Fervo Energy

Cloud Engineering Internship

Houston, TX

$16 - $20.75/hr

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... Scripting experience (Python, Bash, or similar) * Interest in cloud security and cost optimization

Fervo Energy Company

Cloud Engineering Internship

Houston, TX · On-site

$16 - $20.75/hr

Internship Overview You won't be running coffee orders or shuffling paperwork this summer. At Fervo ... Scripting experience (Python, Bash, or similar) * Interest in cloud security and cost optimization

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How much do internship python jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship python in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

What is an internship Python?

An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.

What types of projects and responsibilities can I expect during a Python internship?

During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.

What are the key skills and qualifications needed to thrive in the internship Python position, and why are they important?

To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.

Are Python coders in demand?

Python coders are highly in demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, web development, and machine learning. Employers seek Python skills for roles involving scripting, data analysis, and software development, often requiring knowledge of frameworks like Django or libraries such as Pandas and TensorFlow.

Is a Python internship worth it?

A Python internship provides practical experience in programming, often involving tasks with Python, data analysis, or automation, which can enhance a candidate's skills and employability. It offers opportunities to learn industry tools, build a portfolio, and network with professionals, making it a valuable step for those pursuing a career in software development or data science.

What jobs can I get with Python experience?

Python experience can qualify you for roles such as software developer, data analyst, data scientist, automation engineer, and backend developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git.
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Internship Python jobs near you
Infographic showing various Internship Python job openings in Texas as of September 2026, with employment types broken down into 11% Internship, 1% As Needed, 71% Full Time, 16% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $113,599 per year, or $54.6 per hour.

Data Science Internship

Houston, TX • On-site

Fervo Energy Company
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Fervo Energy Companyexternal

Full-time, Internship

Posted 9 days ago

Job description

Internship Overview
You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next.
Position Description
Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses that turn data into decisions across the business.
You'll work alongside engineers and data scientists to explore datasets, build predictive models, and translate findings into insights that inform real decisions across drilling, operations, and commercial teams.
Requirements
Responsibilities
  • Explore and analyze datasets to identify trends and opportunities
  • Build and validate predictive models and statistical analyses
  • Support development of machine learning models for real-world business problems
  • Communicate findings and recommendations to technical and non-technical stakeholders

Required Qualifications
  • Master's or PhD candidate wrapping up within the next year - we're building a pipeline toward full-time offers
  • Pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership
  • Eagerness to learn, take initiative, and adapt quickly to new challenges
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn)

Preferred Qualifications
  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with SQL and data visualization tools
  • Interest in applying data science to energy or industrial problems

Apply