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

Sr. Network Data Engineer

Denver, CO ยท On-site +1

$107K - $146.70K/yr

Sr. Network Data Engineer New York, New York, United States $ 80.00 - 81.00 (US Dollar) Remote Sr. ... Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications

DevOps Engineer Intern Company: Norstella Location ... Remote, United States Date Posted: May 5, 2026 Employment Type: Intern Job ID: R-1950 Description ...

Serve as the primary point of contact for coordinating remote operations connectivity to project sites. * Collaborate with multidisciplinary teams--including engineering, IT, and product support ...

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Remote R Shiny Developer information

See Boulder, CO salary details

$14

$51

$92

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

As of Jun 1, 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 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 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 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 job categories do people searching Remote R Shiny Developer jobs in Boulder, CO look for? The top searched job categories for Remote 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:
Infographic showing various Remote R Shiny Developer job openings in Boulder, CO as of May 2026, with employment types broken down into 62% Full Time, 29% Part Time, and 9% Contract. Highlights an 1% Physical, 1% Hybrid, and 98% Remote job distribution, with an average salary of $106,414 per year, or $51.2 per hour.
Remote Sr. Network Data Engineer

Remote Sr. Network Data Engineer

Global Channel Management

Denver, CO โ€ข On-site, Remote

$107K - $146.70K/yr

Other

Posted 24 days ago


Job description

Remote Sr. Network Data Engineer

New York, New York, United States

$ 80.00 - 81.00 (US Dollar)

Remote Sr. Network Data Engineer needs 5+ years experience

Remote Sr. Network Data Engineer requires:

  • Locations: Charlotte, Broomfield, CO, USA; Chicago, IL, USA; Denver, CO, USA; Iselin, NJ, USA; Lewisville, TX, USA; New York, NY
  • Hybrid Role 2/3 days in the office
  • Minimum of 3 years of business experience in business/product analysis, other analytics, marketing, operations and/or consulting
  • Minimum of 3 years of experience manipulating data in Microsoft Excel
  • Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications
  • Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling
  • Experience with Snowflake warehousing platform
  • Experience with Reinforcement Learning (MDP, Policy Optimization algorithm, Dynamic Programming algorithm) is a plus
  • Advanced SQL skills
  • Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.)
  • Experience with programming languages skills (e.g. JavaScript, Python, and R etc.
  • Hands-on experience in data analytics and in interpreting statistical models
  • Experience working with large databases and/or in a data extensive environment
  • Experience in a matrix structure and communicating with both technical and non-technical people
  • Minimum of 3 years of financial services related data management and reporting experience
  • Excellent analytical, problem-solving, planning, organizational and project management skills
  • Excellent innovation, interpersonal, and communication skills. Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audiences

Remote Sr. Network Data Engineer duties:

  • Analyzes and reviews trends found from modeling to inform other lines of business such as peer Analytical teams, Enterprise Monitoring teams and Business Management Office
  • Develops data mining models, statistical reporting and data analysis methodologies to identify network anomalies and enable network optimization through data driven decisions
  • Partners with other areas of the business to model outcome of implementing potential business strategies
  • Collaborate and present data to members of the Senior Leadership Team
  • Apply customer, market, and strategic research to support strategic planning
  • Collaborate with other data insights groups, IT and business intelligence units
  • Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results

Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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