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R Developer Jobs in Baltimore, MD (NOW HIRING)

Mondo

DevOps Engineer

Owings Mills, MD · On-site

$55 - $63/hr

Apply now: DevOps Engineer, location is Owings Mills, MD. The start date is ASAP for this 12-month ... Experience with R or RStudio. * Experience with Go. * Experience supporting quantitative research ...

New

Pyramid Consulting, Inc.

DevOps Engineer

Owings Mills, MD · On-site

$65 - $70/hr

Immediate need for a talented DevOps Engineer . This is a 06 months contract opportunity with ... R coding experience with RStudio. * Go coding experience. * Work Flexibility This role is eligible ...

CPMC LLC

Sr. Developer

Greenbelt, MD · Remote

$55.75 - $73.75/hr

CPMC is seeking a Senior Developer for the United States Census Bureau's Disclosure Avoidance ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Raft Company Website

Principal Engineer

Aberdeen, MD · On-site

Our product suite, [R]DP (Raft Data Platform), [R]AIMS (Raft AI Mission System), and [R]AP (Raft ... This is not a testing role or a pure DevOps role. You are expected to understand the software you ...

InterImage

Senior Python Developer

Laurel, MD · On-site

$120K - $162K/yr

Senior Python Developer Your Main Objective: Develop analytics for Customized and Do-it-Yourself ... Experience with C, R, or Java Familiarity with GMLearn Familiarity with GitLab, Docker, Kubernetes ...

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All JobsR Developer JobsR Developer Jobs in Baltimore, MD

R Developer information

See Baltimore, MD salary details

$13

$49

$88

How much do r developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for r developer in Baltimore, MD is $49.02, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $66.88 per hour, depending on experience, location, and employer.

What is an R developer?

An R Developer is a professional who specializes in using the R programming language for statistical analysis, data visualization, and developing data-driven applications. R Developers often work in fields like data science, bioinformatics, finance, and research to process and interpret complex data. Their responsibilities include writing efficient R code, building data models, creating visualizations, and sometimes integrating R with other tools or databases. Strong knowledge of R packages such as dplyr, ggplot2, and Shiny is typically required. R Developers may also collaborate with analysts, data engineers, and other stakeholders to deliver insights and solutions.

What is an R developer?

An R developer is a software developer that specializes in the free software environment and programming language know as R. As an R developer, your responsibilities revolve around writing code for data analysis, statistical computing, and modeling. Qualifications are not universal for this career, but you likely need at least an associate degree in computer science. Since there is no formal certification for the R language, you should develop a strong portfolio to showcase your skills. Experience with statistics is also essential for this role. You can find work as an R developer in a variety of industries, but finance is one of the most common.

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

To thrive as an R Developer, you need strong programming skills in R, a background in statistics or data analysis, and typically a degree in computer science, mathematics, or a related field. Familiarity with R packages (like tidyverse, Shiny, and ggplot2), version control systems (such as Git), and experience with databases or cloud platforms are often required. Attention to detail, problem-solving abilities, and clear communication help R Developers translate complex data into actionable insights. These skills are crucial for delivering accurate analyses, building robust data solutions, and collaborating effectively within data-driven teams.

How does an R developer typically collaborate with data scientists and other stakeholders in a project?

R Developers frequently work closely with data scientists, analysts, and business stakeholders to translate analytical requirements into efficient, reliable code. They often participate in team meetings to clarify project goals, review data models, and ensure that the statistical methods used align with business objectives. Regular communication and code reviews are common, as is the sharing of reproducible scripts and documentation to facilitate collaboration. This team-oriented environment helps ensure that analytical solutions are both technically sound and actionable for decision-makers.

What is the difference between R Developer vs Data Analyst?

AspectR DeveloperData Analyst
Primary RoleDevelops and maintains data analysis tools and scripts using RAnalyzes data to generate reports and insights using various tools, including R
Skills & CertificationsProficiency in R programming, data manipulation, statistical analysisData visualization, statistical analysis, proficiency in Excel, SQL, R
Work EnvironmentData science teams, software development projects, tech companiesBusiness units, marketing, finance, consulting firms
Industry UsageUsed in data science, analytics, and software developmentUsed in business intelligence, reporting, and decision-making

While both R Developers and Data Analysts work with data and R programming, R Developers focus on creating data tools and software, whereas Data Analysts primarily interpret data to provide insights. The roles often overlap, but their core responsibilities differ based on technical development versus data interpretation.

Are R developers in demand?

R developers are in high demand in data analysis, statistics, and data science fields due to their expertise in statistical programming and data visualization. Organizations across industries such as finance, healthcare, and technology seek R skills for data-driven decision making, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.
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The top searched job categories for R Developer jobs in Baltimore, MD are:

R Developer jobs near you
Infographic showing various R Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $101,955 per year, or $49 per hour.

DevOps Engineer

Mondo

Owings Mills, MD • On-site

$55 - $63/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

Apply now: DevOps Engineer, location is Owings Mills, MD. The start date is ASAP for this 12-month contract position.

Job Title: DevOps EngineerLocation-Type: Hybrid (Owings Mills, MD – 2 Days Onsite Per Week)Start Date Is: ASAPDuration: 12-Month Contract (Potential Extension up to 2 Years)Compensation Range: $55/hr - $63/hr W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship

Job Description:Our client is seeking a DevOps Engineer to join its Quant Analytics Platforms team within the Chief Data Office. This team is responsible for building and supporting the cloud-native infrastructure that powers quantitative research, investment, and trading platforms across global investment teams. The ideal candidate will have deep Kubernetes and AWS infrastructure experience, a strong Infrastructure-as-Code background, and a passion for automation, platform engineering, and operational excellence. This is an opportunity to contribute to a high-impact modernization initiative migrating infrastructure to Amazon EKS while helping scale the firm's enterprise analytics platform.

Day-to-Day Responsibilities:

  • Build, automate, and maintain cloud-native infrastructure running on AWS.
  • Support a large-scale modernization initiative migrating Kubernetes workloads to Amazon EKS.
  • Develop Infrastructure as Code using Terraform, Terragrunt, and Helm.
  • Build and optimize CI/CD pipelines using GitLab.
  • Deploy and manage containerized applications using Docker and Kubernetes.
  • Configure and manage Kubernetes clusters and platform services.
  • Implement monitoring, observability, and alerting using Prometheus, Grafana, AlertManager, OpenTelemetry, CloudWatch, and Splunk.
  • Implement security best practices across cloud infrastructure and deployment pipelines.
  • Troubleshoot production and non-production infrastructure issues.
  • Collaborate with engineering teams to improve platform reliability, scalability, and developer productivity.
  • Develop automation using Python and Shell scripting.
  • Support distributed file storage platforms including Amazon EFS, NFS, and FSx.
  • Participate in Agile ceremonies and contribute to continuous platform improvements.
  • Research emerging technologies and recommend improvements to the platform.

Minimum Requirements:

  • 5 years of DevOps, Platform Engineering, or Cloud Infrastructure experience.
  • Strong experience operationalizing cloud-native AWS environments at scale.
  • Expert-level Kubernetes experience, including Amazon EKS.
  • Strong Docker containerization experience.
  • Hands-on experience with Terraform and/or Terragrunt.
  • Experience using Helm for Kubernetes deployments.
  • Experience building and maintaining CI/CD pipelines.
  • Experience with Git, GitHub, and/or GitLab.
  • Experience supporting distributed file storage technologies such as NFS, Amazon EFS, or Amazon FSx.
  • Experience with AWS services including IAM, EC2, EBS, EFS, VPC, Route 53, CloudWatch, and CloudWatch Alerts.
  • Experience implementing observability solutions using Prometheus, Grafana, AlertManager, OpenTelemetry, and/or Splunk.
  • Experience with Python and Shell scripting.
  • Strong troubleshooting and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and ability to collaborate across engineering teams.
Preferred Qualifications:
  • Working knowledge of financial markets and investment technologies.
  • Experience supporting Front Office engineering teams within Asset Management, Hedge Funds, or Investment Banking.
  • Experience with R or RStudio.
  • Experience with Go.
  • Experience supporting quantitative research or analytics platforms.
  • Experience with enterprise modernization initiatives involving Kubernetes migrations.