ZipRecruiter

Log In

1

Python R Developer Jobs in District of Columbia (NOW HIRING)

CEDENT

R Programmer

Washington, DC · Remote

... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies * 2+ years of experience with ...

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

... & DevOps functions. 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies 2+ years of experience with AWS ...

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies * 2+ years of experience with ...

NALLEY CONSULTING

Data Scientist - Sr

Washington, DC · On-site

... Python and R. • 3+ years of experience retrieving, merging, and analyzing structured and ... of DevOps tools and technologies, including git, Jenkins, SonarQube, etc. Company : Nalley ...

next page

Showing results 1-20

All JobsPython R Developer JobsPython R Developer Jobs in District of Columbia

Python R Developer information

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

What cities in District of Columbia are hiring for Python R Developer jobs?

Cities in District of Columbia with the most Python R Developer job openings:

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in District of Columbia as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Senior Applications Developer with R programming(Modernization)/Washington, D.C

Washington, DC • On-site

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 25 days ago

Job description

Client Note: -  Can accept candidates without FAME experience if they have worked with a different time-series data ecosystem. However, R programming experience is a must-have. DuckDB is required as well but if a candidate has worked with SQLite for analytics he would be willing to consider that.
Senior Applications Developer with R programming(Modernization)
Location: Washington, D.C.( Relocation will work 2-3 hour distance)
US Citizenship: Required
The Industrial Output section within the Federal Reserve Board’s Division of Research and Statistics seeks a Senior Developer to lead a critical technical modernization of the monthly G.17 statistical release (Industrial Production and Capacity Utilization).
You will help transition our core data infrastructure from legacy FAME database software to a modern stack (Python, R, SQL, and DuckDB) while ensuring seamless monthly production.
Interview: Final round will be in-person
Key Responsibilities
Modernize Infrastructure: Transition legacy database storage and code to robust, modern pipelines.
Bridge Tech Eras: Master FAME coding to safely reverse-engineer and refactor code into Python and R.
Collaborate: Partner with economists, data engineers, and IT on file transfers and validation.


Requirements
Experience: 7+ years in software development (SDLC).
Tech Stack: Strong Python, R; familiarity with SQL-based systems or DuckDB. FAME is a major plus.
Mindset: Open to emerging tech (including AI coding assistants) balanced with an unwavering commitment to data accuracy and tight monthly deadlines.
Education: Bachelor’s in CS, Economics, Physics, or a related quantitative field.