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Entry Level R Programming Jobs in Washington (NOW HIRING)

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures ...

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures ...

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures ...

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Entry Level R Programming information

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$16

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$89

How much do entry level r programming jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry level r programming in Washington is $30.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.15 per hour, depending on experience, location, and employer.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Entry level R programming roles continue to require knowledge of data manipulation, statistical methods, and tools like RStudio, making it valuable for careers in data science and analytics.

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

To thrive as an Entry Level R Programming professional, you should have a solid understanding of R programming fundamentals, data manipulation, and basic statistical analysis, often supported by a relevant degree in statistics, computer science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and data visualization packages (e.g., ggplot2) is commonly required; certifications in data analysis or R can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you work efficiently within a collaborative team environment. These competencies are crucial to accurately analyze data, provide actionable insights, and contribute effectively to projects from the outset.

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing entry-level R programming jobs due to high competition, limited work experience, and evolving skill requirements such as proficiency in data analysis tools and programming languages. Building relevant skills, certifications, and practical experience can improve job prospects for this demographic.

What is an Entry Level R Programming job?

An Entry Level R Programming job is a position designed for beginners who use R for data analysis, statistical computing, and visualization. These roles are typically found in industries like finance, healthcare, and tech, where data-driven decision-making is crucial. Responsibilities may include cleaning datasets, writing basic R scripts, and generating reports or visualizations. Employers usually seek candidates with a degree in statistics, data science, or a related field, along with foundational knowledge of R and data manipulation libraries like dplyr and ggplot2.

What types of projects do entry-level R Programmers typically work on?

Entry-level R Programmers are often involved in supporting data analysis projects such as cleaning datasets, creating visualizations, building simple statistical models, and preparing reports for stakeholders. They commonly assist senior analysts or data scientists by conducting exploratory data analysis, automating repetitive data tasks, or updating existing R scripts. While responsibilities can vary by industry, close collaboration with team members and learning from more experienced colleagues are standard aspects of the role. This hands-on exposure provides an excellent foundation for developing deeper technical skills and advancing to more complex projects over time.

What jobs pay $10,000 a month without a degree?

Entry-level R programming roles typically do not pay $10,000 a month without significant experience or specialized skills. High-paying jobs in data analysis, software development, or consulting often require advanced expertise, certifications, or a strong portfolio, and may not be accessible at an entry level without a degree. Most high-paying positions in tech or data fields usually prefer candidates with formal education or proven skills.

What jobs pay $2000 a day?

In the context of entry-level R programming roles, high-paying opportunities are rare and typically require extensive experience or specialized skills. Most entry-level data analysis or programming jobs pay significantly less, but freelance consulting or contract work involving R can sometimes reach or exceed $2000 per day for highly skilled professionals. Building expertise in data science, statistical analysis, and tools like RStudio can increase earning potential over time.
What are the most commonly searched types of R Programming jobs in Washington? The most popular types of R Programming jobs in Washington are:
What are popular job titles related to Entry Level R Programming jobs in Washington? For Entry Level R Programming jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level R Programming jobs in Washington look for? The top searched job categories for Entry Level R Programming jobs in Washington are:
Infographic showing various Entry Level R Programming job openings in Washington as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,966 per year, or $30.3 per hour.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha Careers

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.

A day in the life:
You'll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you'll move on to improving a dashboard or other data product that you're responsible for, or perhaps produce a weekly output the customer is expecting. You'll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you'll attend a team meeting (with 4 others) to prioritize things, and you'll have a lot of interaction with the team otherwise, typically several times per day. You'll need your sense of humor and need to be willing to leave your ego at the door.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as wecontinue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health, life/disability, 401k, paid time off,professional development, and generous bonus programs. Please visit ourbenefitstab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000
Some of our additional perks and benefits include:
  • Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as webring digital transformation to the fight!

Employment Type: Full-Time