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R Programming Intern Jobs in Washington, DC (NOW HIRING)

Analytica

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support ... Python, R, statistics, machine learning coursework * Data Engineering: SQL, databases, cloud ...

AEI

Fall Intern: Economic Policy

Washington, DC · On-site

Familiarity with Stata, R, and Python is preferred but not required. Candidates who are able to ... AEI's internship program runs for 12 weeks and all related programming will take place in-person in ...

Certify

Software Developer Intern

Gaithersburg, MD · On-site

$20.75 - $27.25/hr

Programming withMicrosoft Technologies * API integration * DeviceIntegration * Web pagedevelopment ... Experience withReporting Servers and Tools like R Studio, Google Analytics, Tableau etc.

UPNET

Software Developer Intern

Gaithersburg, MD · On-site

$20.75 - $27.25/hr

Programming with Microsoft Technologies \n * API integration \n * Device Integration \n * Web page ... Experience with Reporting Servers and Tools like R Studio, Google Analytics, Tableau etc. \n

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All JobsR Programming Intern JobsR Programming Intern Jobs in Washington, DC

R Programming Intern information

See Washington, DC salary details

$10

$19

$27

How much do r programming intern jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for r programming intern in Washington, DC is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What does an R Programming Intern do?

An R Programming Intern typically assists in analyzing data, writing scripts, and developing reports using the R programming language. They support data science or analytics teams by cleaning data, running statistical analyses, and visualizing results. Interns may also help automate routine tasks and contribute to ongoing research or business projects, gaining valuable experience in coding and data interpretation. This role is ideal for students or recent graduates interested in data science, statistics, or software development.

What is the difference between R Programming Intern vs Data Analyst Intern?

AspectR Programming InternData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge, some R or Python
Work EnvironmentData-focused projects, research teams, tech companiesBusiness insights, reporting, cross-department collaboration
Common UsageData analysis, statistical modeling, researchData interpretation, reporting, decision support

While both roles involve working with data, an R Programming Intern primarily focuses on statistical analysis and data visualization using R, often in research or technical environments. A Data Analyst Intern may use R but also relies heavily on tools like Excel and SQL for broader data interpretation and reporting. The R Programming Intern role is more specialized in programming and statistical modeling, whereas the Data Analyst Intern role emphasizes data-driven decision-making across various business functions.

What types of projects and tasks can I expect to work on as an R Programming Intern?

As an R Programming Intern, you'll typically assist with data cleaning, analysis, and visualization tasks using R. You may work on real datasets, develop scripts to automate data workflows, and contribute to reporting or dashboard creation. Collaboration is common—you'll likely partner with data scientists, analysts, or research teams, gaining practical experience in both technical coding and teamwork. This hands-on exposure helps you build a strong foundation in both R programming and the broader field of data analysis.

What are the key skills and qualifications needed to thrive as an R Programming Intern, and why are they important?

To thrive as an R Programming Intern, you need a solid understanding of R programming, data analysis, and statistical concepts, often supported by coursework in statistics, data science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and packages like dplyr and ggplot2 is typically required. Strong problem-solving skills, attention to detail, and effective communication set standout interns apart. These competencies are crucial for accurately analyzing data, collaborating with teams, and contributing meaningful insights to projects.
What are the most commonly searched types of R Programming jobs in Washington, DC? The most popular types of R Programming jobs in Washington, DC are:
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R Programming Intern jobs near you
Infographic showing various R Programming Intern job openings in Washington, DC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,134 per year, or $19.3 per hour.
Year-Round Graduate Data Engineer Intern, DATA - R&S

Year-Round Graduate Data Engineer Intern, DATA - R&S

Federal Reserve System

Washington, DC

Other

Posted 4 days ago

Job description

Minimum Education
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board's Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board's internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

The Data Architecture, Technology, and Analytics (DATA) section is seeking a graduate intern to support the advancement of key initiatives focused on modernizing the Research & Statistics Division's data environment. This role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage while contributing to ongoing projects that enhance the division's ability to manage and leverage data effectively. The intern will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.

Specific projects/assignments may include:

         Developing data pipelines and machine learning-based analytical tools within an AWS environment.

         Designing and implementing data quality and automation solutions, including data validation processes, workflow automation, metadata management, and reusable scripts to improve the efficiency and reliability of data operations.

         Developing data visualization and analytical products using tools such as Python, SQL, and AWS services to support operational reporting, performance monitoring, and data-driven decision making. This may include creating dashboards, interactive reports, and analytical prototypes for staff.

Education Requirements

         Graduating August 2027 or later

         Currently pursuing a graduate degree in Computer Science, Information Management Systems, Data Analytics, or other related field of study.

Skills/Knowledge Required

         Graduate school level or equivalent Data Analytics background with AWS cloud experience.

         Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data.

         Experience in creating complex regular expressions.

         Knowledge of AWS cloud

         Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib).

         Excellent oral and written communication skills.

         Excellent organization skills.

Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred but not required.

This internship will be part-time during fall/spring semesters (no more than 20 hours per week) and full-time in the summer. The selected candidate will be required to be onsite at our offices in Washington, DC during the summer.

Required Documents: Resume; an unofficial transcript may be requested.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2027 or later.

Apply