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Contract 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 ...

Contemporaries

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility ... We are looking for candidates with strong experience in the R programming language, geospatial ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Overview Please note that this position is contingent upon the successful award of a contract ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Overview Please note that this position is contingent upon the successful award of a contract ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

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

As of May 31, 2026, the average hourly pay for contract 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 is the difference between Contract R Shiny Developer vs Data Analyst?

AspectContract R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app development, data visualizationData manipulation, statistical analysis, reporting, Excel, SQL
Work EnvironmentProject-based, freelance or contract roles, tech-focused teamsFull-time or part-time, business or corporate settings
Industry UsageTech, healthcare, finance, research projects requiring interactive dashboardsBusiness intelligence, marketing, finance, operations analysis

Contract R Shiny Developers focus on building interactive web applications using R and Shiny, often on a project basis. Data Analysts analyze data sets, generate reports, and support decision-making. While both roles require data skills, the Developer role emphasizes app development and coding, whereas the Analyst role centers on data interpretation and reporting.

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What cities are hiring for Contract R Shiny Developer jobs? Cities with the most Contract R Shiny Developer job openings:
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Contract R Shiny Developer jobs near you
Infographic showing various Contract R Shiny Developer job openings in the United States as of May 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 71% In-person, and 29% 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 3 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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