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R Shiny Developer Jobs (NOW HIRING)

CEDENT

R Programmer

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio ...

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio ...

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. 3+ years solid development experience in R, R packages, RStudio, RStudio ...

Ruri Software Technologies LLC

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Title : DevOps Engineer # of Openings : 1 Position Type : Contract Location : Pleasanton, CA ... Specific knowledge of and experience developing R/Shiny applications * Knowledge or usage of Shiny ...

New

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

... R programming language * Experience working with large-scale geospatial or environmental datasets * Experience developing dashboards or interactive visualizations using R Shiny * Experience with ...

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How much do r shiny developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for r shiny developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.

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 is an R Shiny Developer job?

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 in the R Shiny Developer position, and why are they important?

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.

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R Shiny Developer jobs near you
Infographic showing various R Shiny Developer job openings in the United States as of June 2026, with employment types broken down into 17% Internship, 33% Full Time, 17% Part Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

R Shiny Developer

Texas State Library and Archives Commision

Remote

Full-time

Posted 23 days ago

Job description

Required Skills : Technical Skills : R Shiny ,R Studio
Domain Skills : 5. Nice to have skills : Technical Skills : PL/SQL ,3NF data modeling Domain Skills : Research and Development
Technology : Analytics
Roles & Responsibilities : As a Technical Lead, you will be responsible for leading a team of developers, designing and implementing technical solutions, conducting code reviews, and providing technical guidance and mentorship. You will collaborate with cross-functional teams to ensure the successful delivery of projects and contribute to the overall technical strategy of the organization.
Key Responsibilities:
1. R Shiny Application Development: Create and maintain interactive web applications using R Shiny, allowing end-users to visualize and interact with data in an intuitive manner.
2. Data Visualization: Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user-friendly dashboards, charts, and reports.
3. Front-End Development: Implement responsive and user-friendly user interfaces using HTML, CSS, and JavaScript to enhance the user experience.
4. Data Integration: Integrate data from various sources, including databases, APIs, and flat files, ensuring data accuracy and reliability.
5. Performance Optimization: Identify and resolve performance bottlenecks in Shiny applications to ensure smooth and efficient user interactions.
6. Quality Assurance: Conduct thorough testing and debugging of Shiny applications to ensure functionality, reliability, and security.
7. Documentation: Maintain comprehensive documentation for code, applications, and processes to facilitate knowledge sharing and team collaboration.
8. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and project managers, to understand project requirements and deliver solutions that meet business objectives.
9. Stay Current: Stay updated on the latest trends and best practices in R Shiny development and data visualization to continuously improve our applications.

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