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Senior R Shiny Developer Jobs (NOW HIRING)

Samprasoft

R Analytics Developer

Reston, VA · On-site

R Analytics Cloud Engineer Looking for R Developer with AWS cloud and SageMaker experience. Role: R ... R Apps are built on Shiny * Moving these apps to Cloud * These are Data Science apps. * Work with ...

New

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 ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

Georgia IT Inc

J2EE Developer-Plano, TX

Plano, TX · On-site

J2EE Developer Location: Plano, TX Rate: DOE $/hr. Position Type: Contract Interview Process: Phone ... R-shiny, etc. Familiar with Big Data platform and technologies such as Hadoop, Hive, Spark, HUE ...

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 ...

Metropolitan Council

Senior Researcher

Saint Paul, MN · On-site

$88K - $143K/yr

... Shiny, and ESRI GIS. The initial balance of these responsibilities will be based on the Senior ... Use programming languages like R, Python, or SQL to access the division's data assets and perform ...

Metropolitan Council

Senior Researcher

Saint Paul, MN · Hybrid

$88K - $143K/yr

... Shiny, and ESRI GIS. The initial balance of these responsibilities will be based on the Senior ... Use programming languages like R, Python, or SQL to access the division's data assets and perform ...

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Senior R Shiny Developer information

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How much do senior r shiny developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for senior r shiny developer in the United States is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $75.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior R Shiny Developer, and why are they important?

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.
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Senior R Shiny Developer jobs near you
Infographic showing various Senior R Shiny Developer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $114,152 per year, or $54.9 per hour.

R Shiny Developer

Texas State Library and Archives Commision

Remote

Full-time

Posted 28 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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