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

Senior Mechanical Engineer, Water

Denver, CO · On-site

$107K - $142K/yr

Assists senior engineers/designers with developing and managing the project scope, budget, staffing and schedule. * Leads the preparation and coordination of the project specifications and ...

The Sr. Project Engineer helps clients identify, design, and implement utility and infrastructure improvements. This role solves the challenge of turning complex facility needs into practical ...

Senior Project Engineer

Denver, CO · On-site

$101K - $132K/yr

The Sr. Project Engineer helps clients identify, design, and implement utility and infrastructure improvements. This role solves the challenge of turning complex facility needs into practical ...

Senior Quality Engineer

Westminster, CO · On-site

$97K - $126K/yr

We are looking to add an experienced and talented Senior Quality Engineer to our team. In this ... Performs machine capability (CmK) and test equipment capability (GR&R) studies in manufacturing and ...

Senior Quality Engineer

Westminster, CO · On-site

$97K - $126K/yr

We are looking to add an experienced and talented Senior Quality Engineer to our team. In this ... Performs machine capability (CmK) and test equipment capability (GR&R) studies in manufacturing and ...

Showing results 41-60

Senior R Shiny Developer information

See Boulder, CO salary details

$14

$56

$79

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

As of Sep 14, 2026, the average hourly pay for senior r shiny developer in Boulder, CO is $56.92, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $77.79 per hour, depending on experience, location, and employer.

What is a senior R Shiny developer?

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.

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 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.

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 Boulder, CO?

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For Senior R Shiny Developer jobs in Boulder, CO, the most frequently searched job titles are:

What job categories do people searching Senior R Shiny Developer jobs in Boulder, CO look for?

The top searched job categories for Senior R Shiny Developer jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Senior R Shiny Developer jobs?

Cities near Boulder, CO with the most Senior R Shiny Developer job openings:

Infographic showing various Senior R Shiny Developer job openings in Boulder, CO as of August 2026, with employment types broken down into 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $118,387 per year, or $56.9 per hour.

Senior Scientific Software Engineer

Denver, CO

$168K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! 

This is a full-time, onsite role based at our headquarters in Denver, CO.

As a Senior Scientific Software Engineer, you lead the design and development of software systems that support scientific analysis, visualization, machine learning, and internal applications. You will be part of a high-performing software team working closely with simulation and experimental groups to turn data, models, and control systems into reliable, scalable tools that accelerate R&D.

This is a senior, hands-on role with ownership over technical direction and system architecture. A physics background is not required, but you should be comfortable operating in data-driven, research-oriented environments and translating evolving requirements into production-quality software. We are looking for our engineers and scientists to apply their technical expertise, problem solving skills, and dedication to quality to positively impact the future of energy!

Responsibilities

Software Architecture & Design

  • Architect, develop, and maintain Python-based systems for data analysis, visualization, and internal workflows.
  • Lead technical design from early research prototypes through production deployment.
  • Partner with researchers and engineers to translate experimental and modeling requirements into scalable software solutions.
  • Establish best practices for testing, documentation, CI/CD, and deployment in containerized environments.

Data Pipelines & Analysis

  • Design and support data processing pipelines, including large-scale and streaming datasets.
  • Build interactive, multi-user tools for exploratory data analysis and visualization.
  • Contribute to machine learning systems, including model integration, training pipelines, and support for real-time or adaptive control workflows.

Performance & Integration

  • Integrate Python applications with high-performance computing (HPC) or legacy codes (C++/Fortran) and distributed compute systems.
  • Optimize performance-critical components using parallel, GPU-accelerated, or distributed computing techniques as appropriate.

Technical Leadership

  • Mentor engineers and provide technical leadership across projects.
  • Serve as a senior member of the software team, setting direction and raising the bar for technical quality.
Qualification
  • Education: Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field; advanced degree preferred.
  • Experience: 7+ years of professional software development experience in technical, data-intensive, or research-driven environments.
  • Expert-level Python skills and strong experience with numerical and data libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn).
  • Demonstrated ability to design and own complex software systems under ambiguous or evolving requirements.
  • Experience collaborating closely with non-software domain experts and supporting experimental or simulation workflows.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Desired
  • Experience working with 3D geometry or CAD data (STEP, IGES, STL, BREP) and related libraries (OpenCASCADE, VTK, PyVista).
  • Familiarity with structured scientific data formats (HDF5, NetCDF, VTK, custom binary formats).
  • Experience interfacing Python with C/C++ or Fortran (pybind11, Cython, f2py, nanobind).
  • Strong background in parallel, GPU, or distributed computing (MPI, CUDA, OpenACC).
  • Experience with machine learning systems in production environments.
  • Background supporting real-time systems, feedback loops, or adaptive control applications.
  • Experience with containerization and orchestration (Docker, Apptainer, Kubernetes) as well as HPC environments and job schedulers (SLURM).
$168,000 - $198,000 a year
Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.
Equal Employment Opportunity
Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on "EEO Is the Law," please see here and here.
 
Benefits
Xcimer offers a comprehensive benefits package designed to support employee health, well-being, and long-term success. Benefits include medical, dental, and vision coverage; basic and supplemental life insurance; short- and long-term disability; paid parental leave for employees at the time of birth or adoption; and a 401(k) with a company match of up to 6%. Eligible employees also receive equity, allowing them to share in the company's long-term success.
Xcimer operates under a flexible Paid Time Off (ATO) approach. Rather than a fixed number of vacation days, employees are trusted to take the time they need to rest and recharge while meeting the expectations of their role and team. In addition, employees receive paid sick time, 13 company-paid holidays, and an annual paid company shutdown. Benefits are available to regular employees, including part-time and fixed-term roles, as well as interns, with eligibility varying by benefit.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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