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R Programming Language Jobs in Texas (NOW HIRING)

IntegraFEC

(FALL) Data Analyst Intern

Austin, TX

You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: * Exposure to how ...

Paycor

Data Engineer

Irving, TX

$99.60K - $156.50K/yr

... R. * 2 years of experience in Understanding of Privacy, Compliance and security aspects of data ... Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ...

Paychex

Data Engineer

Irving, TX

$99.60K - $156.50K/yr

Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ... R. * 2 years of experience in Understanding of Privacy, Compliance and security aspects of data ...

Pyramid Consulting

Data Scientist

Plano, TX

Knowledge of at least one statistical programming language (R, SAS, and/or Python) * Strong quantitative skills. * Experience in applying advanced statistical or machine learning techniques.

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$74.5K

$115.5K

$140.7K

How much do r programming language jobs pay per year?

As of Jun 1, 2026, the average yearly pay for r programming language in Texas is $115,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R Programming Language position, and why are they important?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.
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What are the most commonly searched types of R Programming Language jobs in Texas? The most popular types of R Programming Language jobs in Texas are:
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What cities in Texas are hiring for R Programming Language jobs? Cities in Texas with the most R Programming Language job openings:
R Programming Language jobs near you
Infographic showing various R Programming Language job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $115,525 per year, or $55.5 per hour.

Material Scientist with Python - Freelance AI Trainer

Mindrift

Austin, TX

$76/hr

Part-time

Posted 19 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original material engineering problems that simulate real engineering workflows;
  • Create problems requiring Python programming to solve engineering calculations and simulations;
  • Ensure problems are computationally intensive and require numerical methods or iterative solutions;
  • Develop problems involving system design, optimization, and analysis;
  • Base problems on real research challenges or practical applications from engineering practice;
  • Verify solutions using Python with standard engineering libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Material Science or related fields; 
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Understanding of practical engineering constraints and approximations;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply