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R Shiny Developer Jobs in Washington, DC (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Familiarity with Posit Connect, R/Shiny, Streamlit, Jupyter, or similar platforms is a plus.

HunaTek

Lead Data Scientist/Data Analyst

Arlington, VA · On-site

$140K - $170K/yr

Experience in financial management, logistics, engineering, and/or program management domains are ... Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc ...

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R Shiny Developer information

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How much do r shiny developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for r shiny developer in Washington, DC is $55.66, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $75.96 per hour, depending on experience, location, and employer.

What is an R Shiny developer?

An R Shiny Developer is responsible for building interactive web applications using R and the Shiny framework. They design, develop, and optimize dashboards or tools to visualize and analyze data dynamically. This role often requires expertise in R programming, data manipulation, UI/UX design, and deploying Shiny apps. R Shiny Developers commonly work with data scientists and analysts to translate data insights into user-friendly applications.

What are the key skills and qualifications needed to thrive as an R Shiny developer?

To thrive as an R Shiny Developer, you need strong programming skills in R and Shiny, a solid understanding of data analysis, and a relevant degree in computer science, statistics, or a similar field. Familiarity with version control systems like Git, experience deploying Shiny apps on cloud platforms, and knowledge of UI/UX best practices are highly valued. Excellent problem-solving abilities, clear communication, and a collaborative mindset set top candidates apart. These skills are essential for building effective, user-friendly data applications that meet business and user requirements in a team environment.

What are the most common challenges faced by R Shiny developers, and how are they addressed in the workplace?

R Shiny Developers often encounter challenges such as optimizing app performance with large datasets, ensuring cross-browser compatibility, and balancing feature-rich functionality with ease of use. Teams typically support developers through code reviews, collaborative problem-solving sessions, and access to best practice documentation or established Shiny frameworks. Employers may also encourage ongoing learning through training or attendance at data science meetups, ensuring developers stay up to date with the latest tools and techniques. Addressing these challenges effectively helps deliver robust, high-impact applications that empower data-driven decisions.

What are the most commonly searched types of R Shiny Developer jobs in Washington, DC?

The most popular types of R Shiny Developer jobs in Washington, DC are:

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R Shiny Developer jobs near you
Infographic showing various R Shiny Developer job openings in Washington, DC as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 57% In-person, 6% Hybrid, and 37% Remote job distribution, with an average salary of $116,213 per year, or $55.9 per hour.

Junior Level Modeling, Simulation, and Analysis Engineer

Chantilly, VA • On-site

Peraton
IT Services • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services

People enjoy working here

Good employer

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Learn more about Peratonexternal

$86K - $138K/yr

Full-time

Posted 10 days ago

Job description

Responsibilities
We are seeking analysis-driven candidates to join Peraton's dynamic Performance Engineering and Analysis team, a recognized Intelligence Community leader with decades of expertise in providing customers with data-driven analysis shaping the architecture of the future. Come join our team in exciting analysis crossing agency boundaries and providing solutions, which address the exponential growth in GEOINT data in the context of modernizing infrastructure, content, CONOPS, services, and cloud-enabled tools and applications.
Duties include:
  • Develop, maintain, and enhance models and analytical tools while building and updating data-ingestion, processing, and integration capabilities across multiple modeling and simulation environments.
  • Process, analyze, and visualize large volumes of historical and forecast model data using advanced predictive algorithms to identify trends, and build visualization dashboards that clearly communicate results to stakeholders.
  • Develop and apply modeling approaches that support customers' architectures, requirements, system performance assessments, and long-term GEOINT strategies, including analyses of alternatives, design and performance trades.
  • Communicate clearly and proactively through collaboration, regular reporting, and effective briefings to ensure stakeholders remain informed and aligned.

Location: This position is fully onsite in Chantilly, VA.
Qualifications
Skills and Experience:
Required:
  • Bachelor's degree in Systems Engineering or in related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
  • Junior-level working system engineering experience in government or industry.
  • Experience with data analysis and scientific computing tools (e.g., Python, R, SQL, or similar) to process large datasets, perform statistical modeling, and generate data visualizations.
  • TS/SCI clearance adjudication or ability to obtain SCI and pass a poly.

Desired:
  • Working knowledge of Model Based Systems Engineering Experience and languages.
  • Working knowledge of Software Development Frameworks.
  • Working knowledge in the field of geospatial intelligence.
  • Experience developing ETL pipelines and working with AWS datalakes
  • Experience with dashboarding or visualization tools such as Tableau, Power BI, Shiny, Dash, Streamlit, or similar platforms.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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