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Senior R Shiny Developer Jobs in Denver, CO (NOW HIRING)

Databricks

Sr. Solutions Engineer

Denver, CO · On-site

$56.75 - $73.25/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large ... R, Scala or Java. Preferred : • Nice to have: Databricks, Snowflake, AWS, Azure, or GCP ...

Databricks

Sr. Solutions Engineer - Hunter Team

Denver, CO · On-site

$56.75 - $73.25/hr

The Sr. Solutions Engineer will work with the Enterprise Account Executive to define and direct the ... Python, R, Scala or Java Preferred : • Nice to have: Databricks, Snowflake, AWS or Azure ...

Tallgrass

Senior Fundamentals Analyst #3889

Denver, CO

$105K - $140K/yr

In coordination with key stakeholders, develop dashboards (PowerBI, Shiny, etc.) that accurately ... Bachelor's degree in Economics, Finance, Engineering, Computer Science, Data Science, or related ...

Tallgrass

Senior Fundamentals Analyst (#3889)

Denver, CO

$105K - $140K/yr

Bachelor's degree in Economics, Finance, Engineering, Computer Science, Data Science, or related ... Coding skills (R/Python), power market experience, and financial analysis a plus. Certifications ...

Tallgrass

Senior Fundamentals Analyst (#3889)

Lakewood, CO · On-site

$105K - $140K/yr

Bachelor's degree in Economics, Finance, Engineering, Computer Science, Data Science, or related ... Coding skills (R/Python), power market experience, and financial analysis a plus. Certifications ...

Tallgrass

Senior Fundamentals Analyst #3889

Lakewood, CO · On-site

$105K - $140K/yr

In coordination with key stakeholders, develop dashboards (PowerBI, Shiny, etc.) that accurately ... Bachelor's degree in Economics, Finance, Engineering, Computer Science, Data Science, or related ...

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Senior R Shiny Developer information

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$56

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

As of May 31, 2026, the average hourly pay for senior r shiny developer in Denver, CO is $56.49, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $77.21 per hour, depending on experience, location, and employer.

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

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

What are the most commonly searched types of R Shiny Developer jobs in Denver, CO? The most popular types of R Shiny Developer jobs in Denver, CO are:
What are popular job titles related to Senior R Shiny Developer jobs in Denver, CO? For Senior R Shiny Developer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Senior R Shiny Developer jobs in Denver, CO look for? The top searched job categories for Senior R Shiny Developer jobs in Denver, CO are:
Senior R Shiny Developer jobs near you
Senior Artificial Intelligence Developer

Senior Artificial Intelligence Developer

Huck Adventures

Boulder, CO • On-site

$56.50 - $74.75/hr

Full-time

Posted 21 days ago

Job description

Company Description
Huck Adventures brings people outside to explore the world together. The outdoor app makes it easy for people to connect with one another and get the educational and safety resources they need to for great adventures. Tailored to outdoor recreation, the app includes availability and skillset matching, communication, event, education, and safety tools all in one place. Huck Adventures partners with like-minded organizations and donates 10 percent of its profits to environmental and outdoor recreation nonprofits, so everyone can enjoy the adventure and beauty of the great outdoors. Learn more at www.huckadventures.com.
  • We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Huck Culture online.
  • We are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work.
  • We are a start-up aiming to be a big company and have co-founder opportunities available.

Job Description
Huck maintains a relentless focus on continually improving our product through analytics and experimentation. We are seeking a talented and passionate data scientist to help drive innovation for our user interfaces on mobile, web. This is a high-impact position where your analytical insights and interpretation of test results will have a direct impact on product decisions. All future product changes will be tested before productization.
Responsibilities:
  • Partner closely with product management leadership, designers, and engineers to design and analyze app development that drive key product decisions.
  • Proactively perform data exploration on user behavior to discover future testing opportunities. Past projects included segmenting customers based on network characteristics and visualizing how users navigate the application.
  • Research the best metrics to measure user engagement.
  • Build data products to rapidly turn novel ideas into web apps and dashboards.
  • Scale your solutions to enable partners to self-serve effectively and automating common data science workflows.
  • Present your research and insights to all levels of the company, clearly and concisely.

Qualifications
  • PhD degree in Statistics, Mathematics, Physics, Operations Research, Econometrics or related field
  • 5+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation
  • Fire
  • Strong statistical knowledge and intuition - ideally utilized in A/B testing or other experimentation setting
  • Strong SQL skills
  • Strong Programming skills in firebase and firestore
  • Experience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)
  • Experience creating data products and dashboards in Tableau, R Shiny, or D3.
  • Deep product sense
  • Ability to work independently and drive your own projects
  • Exceptional interpersonal and communication skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

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