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R Programmer Jobs in Washington, DC (NOW HIRING)

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

This position also requires the person to assist with machine maintenance (A/R) and maintain the ... Demonstrated CNC programming and machine operation experience; Haas and Mastercam highly desirable ...

This Senior HUMINT Developer Lead develops and implements multi-platform traffic analysis program HUMINT within the areas of operational support and serves as the technical team lead.

HUMINT Developer Lead

Washington, DC · On-site

$112K - $179K/yr

This Senior HUMINT Developer Lead develops and implements multi-platform traffic analysis program HUMINT within the areas of operational support and serves as the technical team lead.

This Senior HUMINT Developer Lead develops and implements multi-platform traffic analysis program HUMINT within the areas of operational support and serves as the technical team lead.

This Senior HUMINT Developer Lead develops and implements multi-platform traffic analysis program HUMINT within the areas of operational support and serves as the technical team lead.

HUMINT Developer Lead

Washington, DC · On-site

$112K - $179K/yr

This Senior HUMINT Developer Lead develops and implements multi-platform traffic analysis program HUMINT within the areas of operational support and serves as the technical team lead.

Using Python, Java, R and/or other languages and tools to create extract, transfer, load (ETL) ... Supporting other analysts/developers in the deployment of dashboards into a production environment

Using Python, Java, R and/or other languages and tools to create extract, transfer, load (ETL) ... Supporting other analysts/developers in the deployment of dashboards into a production environment

... as Python, R, Java, C++, or equivalent. • Proven ability to apply computational methods to ... engineering, machine learning, or AI/ML applications in aviation or operational contexts. • ...

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R Programmer information

See Washington, DC salary details

$90.6K

$140.4K

$171K

How much do r programmer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for r programmer in Washington, DC is $140,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $158,000.00 per year, depending on experience, location, and employer.

What Does an R Programmer Do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

What are some common challenges R Programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Proficiency in data visualization, statistical modeling, and tools like RStudio increases employability, with many roles requiring experience in data manipulation and analysis.

What jobs require R programming?

Jobs that require R programming include data analyst, data scientist, biostatistician, research scientist, and statistical programmer roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and packages such as ggplot2 or dplyr.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are R Programmers?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

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

To thrive as an R Programmer, you need strong programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.

What tech jobs pay $400,000 a year?

For R programmers, high-paying roles such as senior data scientists, machine learning engineers, or quantitative analysts can reach or exceed $400,000 annually, especially in finance, tech, or consulting firms. These positions typically require advanced skills in statistical modeling, programming, and experience with big data tools, often supplemented by advanced degrees and certifications. Compensation varies based on experience, location, and company size.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Data scientists and statisticians often use R alongside tools like RStudio and packages such as ggplot2 and dplyr, maintaining its relevance in research, academia, and industry. Proficiency in R continues to be valuable for roles requiring data manipulation and statistical modeling.
What are the most commonly searched types of R Programmer jobs in Washington, DC? The most popular types of R Programmer jobs in Washington, DC are:
What are popular job titles related to R Programmer jobs in Washington, DC? For R Programmer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching R Programmer jobs in Washington, DC look for? The top searched job categories for R Programmer jobs in Washington, DC are:
Infographic showing various R Programmer job openings in Washington, DC as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $140,441 per year, or $67.5 per hour.
R Programmer

R Programmer

CEDENT

Washington, DC • Remote

Contractor

Posted 9 days ago


Job description


Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for  research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
  • Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS.
  • Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
  • Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
  • Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
  • Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
  • Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
  • Participate in an on-call rotation for critical outages and issues
  • Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
  • Effective communication and technical skills
  • Develop & maintain technical documentation including system diagrams & operational procedures

Required qualifications:
  • 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
  • 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
  • 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
  • 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
  • Experienced in Data Exploration packages with Base R
  • Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
  • Ability to effectively communicate technical solutions to engineering teams and business audiences

Key Competencies:
  • Knowledgeable in the AWS Well Architected Framework
  • Strong analytical, organizational, problem-solving, and time-management skills
  • Strong communication (verbal and written) and listening skills.
  • Strong teamwork, planning, and coordination skills
  • Self-motivation, adaptability, and the ability to meet aggressive deadlines.
  • Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.

Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008