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R Shiny Developer Part Time Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ... In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ...

ATA Engineering, Inc

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

No contractors or part-time applications will be accepted. * Excellent verbal and written ... F.R. § 120.62. Please note: we prefer electronic copies of all documents, but you may also mail ...

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing ... Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets ...

Kids First Sports Center

Ninja Coach - Milford

Milford, OH · On-site

$14.25 - $18.75/hr

... * Part time benefits include IRA (must meet qualifications), tuition discounts, and gift/pro shop ... Kids First became one of Recreation's first tenants with 7,000 sq ft of shiny, new space! Ands Kids ...

The Pennsylvania State University

AND POSITION REQUIREMENTS The Bletz Lab is seeking a part time researcher to assist with a project ... This position will lead efforts for improving usability of the database through development of an R ...

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R Shiny Developer Part Time information

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How much do r shiny developer part time jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for r shiny developer part time 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 R Shiny Developer Part Time vs Data Analyst Part Time?

AspectR Shiny Developer Part TimeData Analyst Part Time
Required SkillsProficiency in R, Shiny framework, data visualizationData analysis, SQL, Excel, basic R or Python
Work EnvironmentProject-based, remote or on-site, tech-focusedBusiness or research settings, remote or on-site
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

While both roles involve data handling, R Shiny Developers focus on building interactive web applications using R, requiring coding and app development skills. Data Analysts interpret data and generate reports, often using SQL and Excel. The R Shiny Developer Part Time role emphasizes software development, whereas the Data Analyst Part Time role centers on data interpretation and reporting.

How does a part-time R Shiny Developer typically collaborate with data scientists and project managers on ongoing projects?

As a part-time R Shiny Developer, you will frequently work alongside data scientists to translate their analytical models and datasets into interactive web applications. You'll also coordinate with project managers to align on timelines, deliverables, and feature priorities. Effective communication is key, as you may attend virtual meetings, provide status updates, and review user requirements to ensure the Shiny app meets business needs. Remote collaboration tools like Git, Slack, or Jira are commonly used to facilitate teamwork and track progress.

What are R Shiny Developers?

R Shiny Developers are professionals who specialize in building interactive web applications using the Shiny package in R. They combine statistical analysis, data visualization, and web development skills to create dashboards and tools that allow users to interact with data in real time. Part-time R Shiny Developers typically work on specific projects or tasks, providing flexibility for organizations that need expertise without hiring a full-time employee. Their responsibilities often include designing user interfaces, writing server logic, and integrating data sources.

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

To thrive as a R Shiny Developer Part Time, you need strong programming skills in R, experience with Shiny app development, and a background in statistics or data analysis. Familiarity with tools like RStudio, version control systems (e.g., Git), and deployment platforms such as shinyapps.io or Docker is often required. Excellent problem-solving abilities, communication skills, and the capacity to work independently are crucial soft skills in this role. These competencies ensure efficient delivery of interactive data applications that meet user needs and organizational goals, even on a part-time schedule.
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R Shiny Developer Part Time jobs near you
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 12 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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