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Internship R Programming Language Jobs in North Carolina

Data Engineer (Mid Level)

Charlotte, NC · On-site

$111.80K - $134.30K/yr

Experience with Snowflake ML/AI features and the R programming language. * Experience with Linux administration and system monitoring. * Experience using DAX. * Ability to travel occasionally.

... internship or software experience can count) * 3+ years of iOS mobile software development * Advanced proficiency in Swift Programming Language is required * Deep understanding and proficiency in ...

... internship or software experience can count) * 3+ years of iOS mobile software development * Advanced proficiency in Swift Programming Language is required * Deep understanding and proficiency in ...

AI Engineer

Cary, NC

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

... internships, apprenticeships, bootcamps, military experience, or a strong project portfolio ... Working knowledge of one modern programming language (C#/.NET preferred) and the ability to learn ...

... internships, apprenticeships, bootcamps, military experience, or a strong project portfolio ... Working knowledge of one modern programming language (C#/.NET preferred) and the ability to learn ...

Strong analytical and problem-solving skills, with working knowledge of at least one programming language (e.g., Python, R, MATLAB, or SAS) This employer will not sponsor applicants for work visas ...

R&D Analyst/Engineer

Kinston, NC · Hybrid

$90K - $130K/yr

Proficiency in at least one programming language (e.g., Python, R, MATLAB, SAS), with a preference for familiarity with Python programming * Knowledge with planning and operational criteria ...

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Internship R Programming Language information

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 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 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.

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What cities in North Carolina are hiring for Internship R Programming Language jobs? Cities in North Carolina with the most Internship R Programming Language job openings:

Data Engineer (Mid Level)

SysMind Tech

Charlotte, NC • On-site

$111.80K - $134.30K/yr

Full-time

Posted 11 days ago


Job description

Job Responsibilities
  • Design, develop, and maintain data assets across the entire data lifecycle, from ingestion and transformation to reporting and troubleshooting.
  • Utilize a modern data stack, including Azure, Snowflake, Linux, microservices, and various orchestration tools and BI platforms.
  • Write and optimize code using SQL, Python, and Linux scripting.
  • Manage code and collaborate with others using GitHub and implement CI/CD practices.
  • Work with business partners to understand their needs and deliver data solutions that align with the company's strategy.
  • Provide technical support and troubleshoot data-related issues.

Required Skills and Experience
  • 5-7+ years of experience in data engineering, software development, or a similar technical role.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • Deep expertise in SQL, Python, and Linux scripting.
  • Proven experience with data warehouse design and performance optimization.
  • Strong understanding of CI/CD automation (e.g., GitHub Actions).
  • Experience with Azure services (e.g., Data Factory, Synapse, Key Vault, Container Services).
  • Excellent communication skills, with the ability to explain complex topics to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
  • Experience in a fast-paced environment, managing competing priorities and meeting deadlines.

Additional Skills (Nice to Have)
  • Experience with legacy data tools like SQL Server, SSIS, and SSRS.
  • Familiarity with financial services, specifically investment management (fixed income and equity).
  • Experience with Snowflake ML/AI features and the R programming language.
  • Experience with Linux administration and system monitoring.
  • Experience using DAX.
  • Ability to travel occasionally.