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Internship R Programming Language Jobs in Odessa, TX

Permian Resources

Integration Developer

Midland, TX

$49.25 - $65.50/hr

Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object ... Experience working with or exploring AI/ML tools, large language models, or AI-assisted development ...

Permian Resources

Integration Developer

Midland, TX · On-site

$49.25 - $65.50/hr

Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object ... Experience working with or exploring AI/ML tools, large language models, or AI-assisted development ...

All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Odessa, TX

Internship R Programming Language information

See Odessa, TX salary details

$9

$17

$24

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

As of Jun 18, 2026, the average hourly pay for internship r programming language in Odessa, TX is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

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 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 jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

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 job categories do people searching Internship R Programming Language jobs in Odessa, TX look for? The top searched job categories for Internship R Programming Language jobs in Odessa, TX are:
What cities near Odessa, TX are hiring for Internship R Programming Language jobs? Cities near Odessa, TX with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you

Integration Developer

Permian Resources

Midland, TX

$49.25 - $65.50/hr

Other

Posted 12 days ago

Job description

Job Description:

Permian Resources (NYSE: PR) is seeking an Integration Developer reporting to the Enterprise Data Senior Manager in Midland, Texas. This role sits at the intersection of data engineering and systems integration - responsible for building and maintaining the technical pipelines, APIs, and automated workflows that power our Databricks data platform and connect our enterprise systems.

The ideal candidate brings strong technical skills in data pipeline development and software engineering, a genuine passion for building solutions that streamline business processes, and the ability to work effectively in a fast-paced, collaborative oil and gas environment. We are open to mid-level candidates who demonstrate strong fundamentals and clear potential, as well as senior candidates ready to hit the ground running.

General Responsibilities

  • Data Pipeline Development: Design, build, optimize, and maintain ETL/ELT pipelines that move and transform large volumes of data from source systems into our Databricks analytics environment.

  • Systems Integration: Build and maintain APIs and integration layers (REST, SOAP) that enable seamless data flow between enterprise applications, working across a range of data formats including JSON, CSV, and XML.

  • Platform Monitoring & Support: Monitor and support development and production environments within Databricks to ensure system availability, reliability, and data quality.

  • Data Modeling: Develop data models and pipelines that support reporting, dashboards, and analytical use cases across multiple business teams.

  • System Optimization: Analyze existing integrations and pipelines to identify performance bottlenecks; implement best practices in code quality, data modeling, and architecture.

  • Cross-Functional Collaboration: Partner closely with business subject matter experts, data scientists, and IT members to deliver reliable, clean data that meets operational needs.

  • Documentation & Standards: Create and maintain clear technical documentation; adhere to coding standards and governance practices that support long-term maintainability and scalability.

  • Version Control: Use GitHub or similar version control platforms for collaborative development, code reviews, and repository management.

  • Mentorship (Senior Candidates): Provide guidance to less experienced team members and contribute to a culture of knowledge-sharing across the team.

Minimum Qualifications:

  • 5+ years of relevant experience in data engineering, software development, or systems integration; mid-level candidates with strong fundamentals and demonstrated potential are encouraged to apply.

  • 3 years of experience working in the oil and gas industry is required

  • Bachelor's degree (BS/BA) in Computer Science, Engineering, Business Analytics, Statistics, or a related field; equivalent practical experience will be considered.

  • Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object-oriented design principles.

  • Hands-on experience with Databricks or a comparable cloud-based data platform (e.g., Snowflake); strong working knowledge of SQL.

  • Experience designing and maintaining REST and/or SOAP APIs; familiarity with authentication and security best practices.

  • Experience with ETL/ELT frameworks and tools (e.g., dbt); comfortable working with JSON, CSV, and XML formats.

  • Strong verbal and written communication skills; ability to translate technical concepts for non-technical stakeholders across all levels of the organization.

  • Capable of working independently and integrating effectively within multi-disciplinary teams in a fast-paced environment.

  • Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.

Preferred Qualifications:

  • Significant exposure to upstream oil and gas datasets, systems, and operational workflows is strongly preferred.

  • Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.

Permian Resource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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