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R Shiny Jobs (NOW HIRING)

The Pennsylvania State University

$15.75 - $21/hr

Additional tasks involve writing project metadata, developing R code and R Shiny applications, and conducting statistical analyses on biodiversity, shape grammars, and design computation.

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How much do r shiny jobs pay per year?

As of Jun 28, 2026, the average yearly pay for r shiny in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the R Shiny position, and why are they important?

To thrive as an R Shiny Developer, you need strong proficiency in R programming, Shiny framework development, and experience in data visualization and analysis. Familiarity with additional tools such as JavaScript, HTML, CSS, and Git, along with certifications in data science or programming, is highly beneficial. Effective problem-solving, communication skills, and a collaborative mindset are important soft skills in this role. These qualifications enable you to efficiently create interactive data applications, work seamlessly with cross-functional teams, and deliver valuable insights to stakeholders.

What is an R Shiny job?

An R Shiny job typically involves developing interactive web applications using the Shiny package in R. Professionals in this role design user interfaces, build server logic, and integrate data visualization tools to create dynamic dashboards. These applications are used in industries such as healthcare, finance, and research to analyze and present data in an accessible way. Strong proficiency in R, Shiny, and web technologies like HTML, CSS, and JavaScript is often required.

What are some typical responsibilities of an R Shiny Developer on a data science team?

As an R Shiny Developer, your primary responsibilities often include designing, developing, and maintaining interactive web applications using R and Shiny to visualize and share data analytics results. You'll work closely with data scientists, analysts, and business stakeholders to understand requirements and translate complex data into user-friendly, actionable dashboards. The role may also involve optimizing app performance, integrating new features based on user feedback, and ensuring best practices for code quality and data security. Collaboration and clear communication are key, as you may contribute to multidisciplinary projects and offer support or training to end-users.

More about R Shiny jobs
What cities are hiring for R Shiny jobs? Cities with the most R Shiny job openings:
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R Shiny jobs near you
Infographic showing various R Shiny job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 18% Part Time, and 27% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • Remote

Full-time

Posted 2 days ago

Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements

Required Qualifications:
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies