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

ERG

Senior Process Safety/Chemical Engineer

Golden, CO

$110K - $155K/yr

... to Section 112(r) of the Clean Air Act (both the General Duty Clause and RMP), as well as ... Manage and train junior and mid-level staff to facilitate growth * Collaborate and communicate ...

ERG

Senior Process Safety/Chemical Engineer

Golden, CO · Remote

$110K - $155K/yr

... to Section 112(r) of the Clean Air Act (both the General Duty Clause and RMP), as well as ... Manage and train junior and mid-level staff to facilitate growth * Collaborate and communicate ...

Stantec

Senior Mechanical Engineer, Water

Denver, CO · On-site

$107K - $142K/yr

Utilizes technologies in development of three-dimensional models of process mechanical systems and providing markups for junior engineers/designers. * Prepares and revises documentation in various ...

CesiumAstro

Principal EMI/EMC Engineer II

Westminster, CO · On-site

$142K - $189K/yr

Mentor and train junior engineers, providing guidance on best practices in EMI/EMC design and testing. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS * Bachelor's or Master's degree in Electrical ...

EchoStar

Senior Data Analyst

Littleton, CO

$90K - $118K/yr

Mentor junior analysts by providing technical guidance, conducting peer code reviews, and ... or R * Hands-on experience performing data engineering, transformation, and dimensional data ...

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Junior R Shiny Developer information

See Denver, CO salary details

$24.7K

$91.6K

$141.5K

How much do junior r shiny developer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for junior r shiny developer in Denver, CO is $91,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $89,500.00 per year, depending on experience, location, and employer.

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

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

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

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What are Junior R Shiny Developers?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are some common challenges faced by Junior R Shiny Developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.
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:
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Junior R Shiny Developer jobs near you
Senior Data Scientist - Risk & Compliance Domain

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Posted 6 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance

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