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Senior R Shiny Developer Jobs in Austin, TX (NOW HIRING)

SM Global IT LLC

AI/ML Engineer

Austin, TX · On-site

$113K - $136K/yr

Experience with data visualization tools such as Power BI, Tableau, Streamlit, R Shiny, or Matplotlib. * Knowledge of object-oriented programming and design patterns . * Understanding of unit testing ...

New

Hireblazer

AI/ML Intern (Level II)

Austin, TX · On-site

Python and SQL skills Data Visualization skills with tools like PowerBI, Tableau, Streamlit, R Shiny, Matpotlib Knowledge of Object-oriented programming & design patterns Unit testing, CI/CD, Git ...

New

HireBlazer

AI/ML Intern (Level II)

Austin, TX · On-site

Data Visualization skills with tools like PowerBI, Tableau, Streamlit, R Shiny, Matpotlib * Knowledge of Object-oriented programming & design patterns * Unit testing, CI/CD, Git, containerization ...

New

Air InfoSec

AI/ML Engineer

Austin, TX · On-site

$25 - $35/hr

... R Shiny, or Matplotlib. * 2 years of experience with object-oriented programming and design patterns. * 2 years of experience with unit testing, CI/CD, Git, and containerization (Docker). * 2 years ...

New

TeamViewer Germany GmbH

Senior DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

... Senior DevOps, Platform, or Cloud Engineer in high-availability SaaS environments. * Strong ... Join c-a-r-e and lead change initiatives together with us! Work location for this position is ...

Atria Group LLC

Senior Java Developer

Austin, TX

$56.75 - $72.25/hr

... a senior java developer to join their existing team. The Spectrum application sells and manages ... R&D. The application was architected and built 4-5 years ago and has been maintained since then.

Hyliion

Senior Manufacturing Engineer

Austin, TX · On-site

$90K - $123K/yr

Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly ... gage R&R studies. Review and approve fixture designs produced by other engineers. * Material ...

Hyliion

Senior Manufacturing Engineer

Austin, TX · On-site

$90K - $123K/yr

Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly ... gage R&R studies. Review and approve fixture designs produced by other engineers. * Material ...

Hyliion

Senior Manufacturing Engineer

Austin, TX · On-site

$90K - $123K/yr

Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly ... gage R&R studies. Review and approve fixture designs produced by other engineers. * Material ...

Cedarparktexasedc

Senior Manufacturing Engineer

Austin, TX · On-site

$90K - $123K/yr

Job Purpose The Senior Manufacturing Engineer serves as the senior technical authority for assembly ... gage R&R studies. Review and approve fixture designs produced by other engineers. * Material ...

Pwc

GIS Web AI Developer, Senior Associate

Austin, TX · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Functional & Industry Technologies Management Level Senior Associate & Summary The Opportunity As a GIS Web AI Developer, Senior Associate, you will play a ...

CACI

Sr. DevSecOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

As a Senior DevOps Engineer, you will be part of an Agile development team where you will support the design, development, modification, and evaluation of signals intelligence, radar, and ...

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Senior R Shiny Developer information

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

As of Sep 11, 2026, the average hourly pay for senior r shiny developer in Austin, TX is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.53 and $74.33 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 Austin, TX?

The most popular types of R Shiny Developer jobs in Austin, TX are:

What are popular job titles related to Senior R Shiny Developer jobs in Austin, TX?

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

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The top searched job categories for Senior R Shiny Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Senior R Shiny Developer jobs?

Cities near Austin, TX with the most Senior R Shiny Developer job openings:

Senior R Shiny Developer jobs near you
Infographic showing various Senior R Shiny Developer job openings in Austin, TX as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $113,149 per year, or $54.4 per hour.

AI/ML Engineer

Austin, TX • On-site

SM Global IT LLC
See more jobs at SM Global IT LLCexternal

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
  • Artificial Intelligence/Machine Learning Engineer 2 will support TxDOT s AI Development team in building and evaluating AI/ML solutions that drive business innovation.
  • The role involves AI/ML application development, proof-of-concepts, data pipelines, model deployment, visualization, and cloud-based AI services.
Responsibilities:
  • Evaluate emerging AI/ML technologies, tools, platforms, and vendor solutions against business use cases.
  • Develop proof-of-concepts (PoCs) to validate AI/ML solutions and new ideas.
  • Design and build AI/ML applications and models for use cases such as predictive analytics, NLP, and computer vision.
  • Develop scalable AI/ML pipelines and integrate them with existing systems.
  • Build data pipelines and ETL workflows using Airflow, Prefect, or cloud-native alternatives.
  • Support model deployment, monitoring, versioning, and inference through REST APIs, gRPC, serverless platforms, or similar approaches.
  • Collaborate with data, software engineering, and development teams.
  • Use modern development practices including Git, CI/CD, Docker, unit testing, and object-oriented programming.
  • Leverage cloud AI/ML services across AWS, Azure, Google Cloud Platform, or OCI.
Required Qualifications:
  • 2 3 years of experience in AI/ML engineering, software development, data engineering, or a closely related area.
  • Strong working knowledge of Python and SQL.
  • Experience with data visualization tools such as Power BI, Tableau, Streamlit, R Shiny, or Matplotlib.
  • Knowledge of object-oriented programming and design patterns.
  • Understanding of unit testing, CI/CD, Git, and Docker/containerization.
  • Familiarity with data pipelines and ETL, including Airflow, Prefect, or cloud-native equivalents.
  • Knowledge of AI/ML model deployment, monitoring, and versioning.
  • Exposure to REST APIs, gRPC, serverless architectures, or similar deployment methods.
  • Familiarity with at least one major cloud platform: AWS, Azure, Google Cloud Platform, or OCI.
  • Exposure to cloud-native AI/ML platforms such as SageMaker, Bedrock, Vertex AI, or Azure ML.
  • Knowledge of Kubernetes and Docker.
  • Familiarity with modern AI coding assistants, such as Claude Code, Codex, Cursor, or similar tools.

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