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Internship R Programming Language Jobs in Santa Clara, CA

Xpansiv

QA Intern

San Jose, CA · On-site

$30 - $35/hr

This internship offers hands-on experience with quality engineering, automation frameworks, cross ... Coursework, academic projects, or practical experience using a programming language such as Python ...

Xpansiv

QA Intern

San Jose, CA

$30 - $35/hr

This internship offers hands-on experience with quality engineering, automation frameworks, cross ... Coursework, academic projects, or practical experience using a programming language such as Python ...

Xpansiv

QA Intern

San Jose, CA · On-site

$30 - $35/hr

This internship offers hands-on experience with quality engineering, automation frameworks, cross ... Coursework, academic projects, or practical experience using a programming language such as Python ...

Amazon

Software Development Engineer

Santa Clara, CA · On-site

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle ...

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How much do internship r programming language jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship r programming language in Santa Clara, CA is $20.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 per hour, depending on experience, location, and employer.

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What types of projects or tasks can I expect to work on during an R programming language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the most commonly searched types of R Programming Language jobs in Santa Clara, CA?

The most popular types of R Programming Language jobs in Santa Clara, CA are:

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For Internship R Programming Language jobs in Santa Clara, CA, the most frequently searched job titles are:

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What cities near Santa Clara, CA are hiring for Internship R Programming Language jobs?

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Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Santa Clara, CA as of July 2026, with employment types broken down into 2% Internship, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,274 per year, or $20.3 per hour.

QA Intern

San Jose, CA • On-site

Xpansiv
Internet and IT • 201 - 500 employees
Learn more about Xpansivexternal

$30 - $35/hr

Internship

Posted 12 days ago

Job description

Xpansiv is the leading infrastructure provider for the energy transition markets.
Our comprehensive platform includes registries, online marketplaces, market execution services, wholesale power solutions, and market data for energy and environmental commodity markets. Trusted worldwide, Xpansiv enables stakeholders to deliver transparent, credible, and auditable environmental claims to address the growing global demand for assurance and accountability on climate action and sustainability performance.
From our founding in 2009 through more than 10 acquisitions, Xpansiv has become a global leader in environmental commodity markets. We are backed by Blackstone and other leading investors.
Position Summary
Xpansiv is seeking a motivated and detail-oriented Quality Assurance Intern to support the development and expansion of the automated testing framework for the Xpansiv Power platform. Reporting to a Product Manager and working closely with the Head of QA, the broader QA team, and Engineering, the intern will help improve software quality, test coverage, and release reliability across a complex energy market operations platform.
The intern will contribute to ongoing automation initiatives, help establish effective practices for managing non-production test data and test assets, and develop automated tests that validate backend APIs and web user interface functionality. This internship offers hands-on experience with quality engineering, automation frameworks, cross-functional software delivery, and business-critical technology used in energy markets.
Key Responsibilities
  • Collaborate with Product Management, QA, and Engineering teams to support the design and implementation of automated testing solutions.

  • Develop, maintain, and improve automated test scripts for web user interfaces and backend APIs.

  • Help define and implement processes for managing non-production test data, test accounts, test assets, and testing environments.

  • Create, execute, and maintain automated functional, integration, and regression test suites.

  • Review test results, identify and document defects, and support troubleshooting and defect-resolution efforts.

  • Assist with validating new features, bug fixes, and software releases against requirements and acceptance criteria.

  • Contribute to documentation covering testing approaches, standards, frameworks, test cases, and test data management practices.

  • Work with existing automation tools and frameworks while helping expand test coverage across key platform workflows.

  • Participate in team ceremonies, planning discussions, test reviews, and release-readiness activities.

  • Share findings, risks, and recommendations clearly with technical and non-technical stakeholders.

Qualifications
  • Currently pursuing an undergraduate or graduate degree in Computer Science, Software Engineering, Information Systems, or a related field.

  • Coursework, academic projects, or practical experience using a programming language such as Python, JavaScript, C#, Java, or a similar language.

  • Foundational understanding of the software development lifecycle and software testing concepts.

  • Strong analytical, problem-solving, organizational, and attention-to-detail skills.

  • Clear written and verbal communication skills.

  • Ability to work independently, seek guidance when needed, and collaborate effectively in a cross-functional team environment.

  • Interest in test automation, APIs, web applications, quality engineering, and reliable software delivery.

Preferred Qualifications
  • Exposure to automated testing tools or frameworks such as Cypress, Playwright, Selenium, Rest Assured, or similar technologies.

  • Familiarity with API testing tools such as Postman or SoapUI.

  • Experience with source control tools such as Git.

  • Basic understanding of web technologies, REST APIs, databases, microservices, or continuous integration and delivery pipelines.

  • Experience contributing to a team-based academic, internship, or software development project.

  • Interest in energy markets, sustainability, regulated technology platforms, or data-intensive applications.

What Success Looks Like
  • Automated test coverage is expanded across priority Xpansiv Power workflows.

  • Test scripts are reliable, maintainable, clearly documented, and aligned with team standards.

  • Non-production test data and test assets are organized and managed through consistent, repeatable practices.

  • Defects and quality risks are identified early, documented clearly, and communicated promptly.

  • Product, QA, and Engineering partners receive dependable support during feature validation and release preparation.

Compensation:
The anticipated hourly pay range for this internship is $20-$25 per hour for undergraduate students and $30-$35 per hour for graduate-level students, based on a good-faith estimate. Actual pay within these ranges may vary based on academic level, skills, and relevant experience, in accordance with applicable pay transparency laws.
Here at Xpansiv, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in building trust and transparency in global efforts toward net-zero future. Xpansiv is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law.
Note to Recruiters: Xpansiv does not accept unsolicited resumes or referrals from placement agencies, staffing vendors or other external parties seeking recruiting fees without a signed formal agreement.

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