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Flex R Shiny Developer Jobs (NOW HIRING)

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Goldbelt Apex

Bioinformatician

Atlanta, GA

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

AceStack LLC

Jr. R Python Developer

$51.50 - $71/hr

Job Title : Jr. R Python Developer Location: Atlanta, GA / Remote FTE Only Must Have Technical ... Shiny/Dash (as applicable). • Support team members by generating datasets needed for analytics or ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and ...

Union Technologies

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Union Technologies

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

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Flex R Shiny Developer information

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

As of Jul 7, 2026, the average hourly pay for flex 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 Flex R Shiny Developers?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

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

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

How does a Flex R Shiny Developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

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What cities are hiring for Flex R Shiny Developer jobs? Cities with the most Flex R Shiny Developer job openings:
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Flex R Shiny Developer jobs near you
Infographic showing various Flex R Shiny Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.
Senior Data Visualization Developer

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site

Full-time

Re-posted 11 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

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