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Freelance R Shiny Developer Jobs in Santa Clara, CA

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Title : DevOps Engineer # of Openings : 1 Position Type : Contract Location : Pleasanton, CA ... Specific knowledge of and experience developing R/Shiny applications * Knowledge or usage of Shiny ...

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Freelance R Shiny Developer information

See Santa Clara, CA salary details

$11

$26

$81

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

As of Jul 27, 2026, the average hourly pay for freelance r shiny developer in Santa Clara, CA is $26.97, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $22.02 per hour, depending on experience, location, and employer.

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

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

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

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are Freelance R Shiny Developers?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
What are the most commonly searched types of R Shiny Developer jobs in Santa Clara, CA? The most popular types of R Shiny Developer jobs in Santa Clara, CA are:
What are popular job titles related to Freelance R Shiny Developer jobs in Santa Clara, CA? For Freelance R Shiny Developer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in Santa Clara, CA look for? The top searched job categories for Freelance R Shiny Developer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Freelance R Shiny Developer jobs? Cities near Santa Clara, CA with the most Freelance R Shiny Developer job openings:
Infographic showing various Freelance R Shiny Developer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 80% Full Time, 8% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $56,106 per year, or $27 per hour.
DevOps Engineer

$58.50 - $80.25/hr

Full-time

Posted 8 days ago


Job description

Title: DevOps Engineer
# of Openings: 1
Position Type: Contract
Location: Pleasanton, CA, United States
Description:
  • Maintain and expand the functionality of existing scripts & applications
  • Design and develop new scripts and processes for automation, sequencing pipeline workflows, reporting, data transfers, archiving, service lifecycle management, and maintenance and upgrades
  • Troubleshoot anomalies in script or application functionality and output as they relate to sequencing pipeline workflows, builds, data transfers, and archiving
  • Work alongside the scientists to understand sequencing pipeline inputs and outputs
  • Manage lifecycle of products and services from inception to deployment and support

Skills:
Please note: Only experienced candidates with a strong, currently active background in scripting and/or application development will be considered, and on the job training will not be offered due to the complexity of the existing environment.
Required:
  • 5+ years' experience in development
  • Extensive, working experience with scripting languages such as R, Python, Perl, C or Java; the Bash command language alone is not sufficient, but required
  • Working experience using version control, specifically Git
  • Working experience with Linux operating systems, such as RHEL or Ubuntu
  • Working experience with storage, such as GPFS or Isilon or S3

Desired:
  • Specific knowledge of and experience developing R/Shiny applications
  • Knowledge or usage of Shiny Server Pro and/or RStudio
  • Knowledge of Nextflow or other workflow framework
  • Experience with configuration management tools, such as Ansible or Puppet or Bright
  • Strong understanding of user interfaces and user experience

Plus:
  • Deep knowledge of Linux system administration
  • Experience with High Performance Computing (HPC) clusters
  • Experience with HPC job schedulers, such as UGE, LSF, or Slurm
  • Knowledge of cloud platforms, such as AWS or GCP

Required Education:
  • Bachelor's degree

Preferred Education:
  • Master's degree
Required
  • APPLICATION DEVELOPMENT
  • SCRIPTING
  • GIT
  • LINUX
  • PYTHON