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Remote R Shiny Developer Jobs in Boulder, CO (NOW HIRING)

ABB

Global Product Manager - Transformers

Denver, CO · On-site +1

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

W&M Environmental Group

Air Modeler

Denver, CO · Remote

$80K - $119K/yr

Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

Deloitte

Senior Consultant - ServiceNow

Denver, CO · Remote

Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Mercer Advisors

Senior Research Manager

Denver, CO · On-site +1

Proficient programming skills (e.g. R, Python, SQL, and/or Microsoft VBA). * Experience in data ... Comfortable working independently and collaboratively in a remote or hybrid team environment. Work ...

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

As of Jul 7, 2026, the average hourly pay for remote r shiny developer in Boulder, CO is $51.16, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $69.81 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

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

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What is the difference between Remote R Shiny Developer vs Data Analyst?

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of R Shiny Developer jobs in Boulder, CO? The most popular types of R Shiny Developer jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Remote R Shiny Developer jobs? Cities near Boulder, CO with the most Remote R Shiny Developer job openings:
Remote R Shiny Developer jobs near you
Data Scientist with Colorado Avalanche- Contract

Data Scientist with Colorado Avalanche- Contract

Kroenke Sports & Entertainment

Denver, CO • On-site, Remote

$70K - $85K/yr

Full-time

Posted 4 days ago

Job description

Job Title: Data Scientist with Colorado Avalanche
Department: Colorado Avalanche, Hockey Ops
Location: Denver, Colorado is preferred, but could be remote (with Occasional Travel)
Reports to: Data Scientist
Employment Type: Full Time- Employment Contract- Salary
Supervisor Position: No
Posting End Date: 7/20/2026
________________________________________________________________________
Position Overview:
The Colorado Avalanche are looking to hire a full-time data scientist to work within the team’s Hockey Operations Department. This person will use their knowledge of statistical best practices and modeling techniques to analyze large datasets and present takeaways in fields such as: player and team evaluation, in-game tactics, and roster building. They will have the opportunity to work with advanced event, tracking level, and biometric datasets and will work closely with various members of the hockey operations department.
Location:
Denver, Colorado is preferred, but could be remote (with occasional travel)
Responsibilities:
  • Research, develop, and test predictive models for player evaluation and projection at all levels
  • Work with large datasets to answer questions for decision-makers including coaches and management
  • Create data visualizations, reports, profiles, and presentations that communicate methodology and key findings to audiences with a range of technical competencies
  • Collaborate with our team of analytics and hockey operations personnel to best complete projects and support our management group
  • Respond to analytics or hockey operations personnel questions and project requests in a timely fashion including at times on evenings and weekends
Required Qualifications:
  • Ability to think probabilistically and comfort dealing with uncertainty
  • Expertise in one or multiple coding language, preferably R and Python
  • Experience building predictive models of various types from large, complex datasets
  • Strong verbal and written communication skills
Preferred Qualifications:
  • 1-3 years of work experience in a data analysis and/or modeling-related position
  • An advanced degree in computer science, applied mathematics, predictive analytics, statistics, or a related field
  • Expertise in AI, machine learning, and building models with spatio-temporal data
  • A comfort level working with SQL and relational databases in a cloud computing environment, preferably Azure or AWS
  • Experience building dashboards, web applications, and interactive data visualizations, which can include working in Shiny or Power BI
  • Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics
Compensation:
  • Salary Range: $70k-$85k, Contract Employee
Applications must be received by: 07/20/2026
Equal Employment Opportunity
Kroenke Sports amp; Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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