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R Programming Jobs in Dallas, TX (NOW HIRING)

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. * Build and maintain AI pipelines, from data processing to model deployment. * Analyze ...

Role Name Technical Lead(Earnix developer) Location: San Antonio/ Plano, TX Mode of hire: 6 months ... SQL * Python or R * Excel * Tableau / Power BI Key Responsibilities * Develop, maintain, and ...

Engineer, Machining

Fort Worth, TX · On-site

$71K - $97K/yr

R, Minitab) and process capability metrics (Cpk, Ppk). * Experience designing and optimizing ... Experience with programming, and the ability to apply those skills to automate routine analysis ...

... R, SQL, Big Data, GCP, and Shell scripting. With Regards, Chanakya | Sr. IT Recruiter Desk: 901-313-3066 Email: chanakya@conchtech.com LinkedIn: linkedin.com/in/bhadchan Conch Technologies Inc | www ...

Collaborate with cross-functional teams including Manufacturing, Quality, and R&D. * Ensure products meet performance, quality, and regulatory requirements. * Provide engineering support throughout ...

Sr Big Data Engineer

Plano, TX · On-site

$52 - $69/hr

Job Title: Sr Big Data Engineer Job Location: Plano, Texas Job Type: Contract - Must-Have Skills ... Lead Experience Data Modeling CI/CD - Jenkins R Airflow Kubernetes

The only exceptions are for Asylees, Refugees, and TPS • Programming experience (minimum 6 months ... Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ...

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R Programming information

See Dallas, TX salary details

$79.1K

$122.7K

$149.4K

How much do r programming jobs pay per year?

As of Jul 21, 2026, the average yearly pay for r programming in Dallas, TX is $122,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $138,000.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

Is R still used in 2026?

R programming remains widely used in data analysis, statistical modeling, and research environments in 2026. Many organizations rely on R for data visualization, machine learning, and data science tasks, and it continues to be supported by a large community and extensive packages. Proficiency in R is valuable for data analysts and statisticians working across various industries.

What jobs use R coding?

Jobs that use R coding include data analyst, data scientist, statistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and programming, with R being a primary tool for data manipulation and modeling in these fields.

What types of projects do R Programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

Is R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles, especially in industries like healthcare, finance, and research. Professionals skilled in R, along with data visualization and statistical modeling, are sought after as organizations increasingly rely on data-driven decision making.

What jobs pay $500,000 a year in the US?

In R programming, high-paying roles such as senior data scientists, quantitative analysts, or lead statisticians can reach or exceed $500,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced skills in data analysis, machine learning, and extensive experience, often supplemented by certifications or advanced degrees. Compensation at this level may include base salary, bonuses, and stock options.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

What are the key skills and qualifications needed to thrive as an R Programmer, and why are they important?

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.
What are the most commonly searched types of R Programming jobs in Dallas, TX? The most popular types of R Programming jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for R Programming jobs? Cities near Dallas, TX with the most R Programming job openings:

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Re-posted 2 days ago


Job description

PrincipalProduct Engineer - MMICs

Job Description:

As a Product Engineer at MACOM Technology Solutions, you will be a key team member of the New Product Development Engineering team responsible for the release of a diverse portfolio of microwave semiconductor products from MHZ to 50GHz+, targeting Satcom, Communications, Test and Measurement, Aerospace and Defense, and general use applications into mass production.  The Product Engineer's role includes the development of production tests plans to verify product performance, the design and debug of RF test boards for automated test equipment and the statistical analysis of data using sound statistical methodology in order to set test limits and datasheet specifications.  To accomplish these tasks, the Product Engineer will interact closely with Design Engineering, Test Engineering, Applications, Marketing, and Reliability Engineering to analyze and resolve issues, as they relate to sample, pre-production and full production release of a product.  You will work with internal and offshore test facilities to release products to production.  A strong semiconductor product characterization and test background and the ability to collaborate with multiple engineering disciplines at different geographical location worldwide are essential to the success of this position.  

Responsibilities:

  • Generate production tests plans to verify product performance
  • Generate product datasheets
  • Design/analyze RF & microwave test boards for automated test equipment
  • Set up and perform lab RF measurements
  • Conduct measurement systems analysis (gauge R&R)
  • Analyze data using sound statistical methodology
  • Perform yield analysis and hold meetings of the project team to review the findings
  • Ensure all aspects of product manufacturing, including hardware, documentation, BOMs and costing are in place for the production release of a product
  • Ensure new product introduction is successful and on schedule