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R Programming Jobs in Connecticut (NOW HIRING)

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms ...

The R&D Design Engineer will be responsible for the development, design, validation and continuous improvement of products and engineered solutions from concept through production release. This role ...

Toolmaker

Bethel, CT

$100K - $150K/yr

Paid Time Off If you're an experienced Tool Maker and CNC Programmer looking for a high-impact role with a growing manufacturing company, we'd love to hear from you! A.R. Mazzotta is an equal ...

R. Mazzotta is partnering with a growing precision manufacturer in the Deep River / Essex area to ... If you enjoy working alongside production and engineering teams to improve quality, resolve issues ...

Quality Engineer

Bloomfield, CT · On-site

$72K - $92K/yr

Conducts process capability studies, design of experiments, gage R&R and other process, product, or ... Knowledge of automated inspection equipment including Vision Systems with basic programming skills ...

R. Mazzotta is continually recruiting for similar positions throughout Connecticut. Apply today to ... Experience within construction, property development, engineering, or similar industry strongly ...

Showing results 21-40

R Programming information

See Connecticut salary details

$76.1K

$118K

$143.6K

How much do r programming jobs pay per year?

As of Aug 8, 2026, the average yearly pay for r programming in Connecticut is $117,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $132,700.00 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.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data manipulation and reporting. The demand is expected to grow as organizations increasingly rely on data-driven decision-making.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical methods and data manipulation tools.

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.

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 Connecticut? The most popular types of R Programming jobs in Connecticut are:
Infographic showing various R Programming job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,959 per year, or $56.7 per hour.

$128K - $154K/yr

Full-time

Re-posted 29 days ago


W.R. Berkley rating

9.0

Company rating: 9.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

36th of 303 rated insurance


Job description

Job Summary:
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality code for data ingestion, transformation, orchestration, and monitoring.
• Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability, documentation, and productivity.
• Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
• Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
• Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
• Communicate system design, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 4–7 years of relevant data engineering, software engineering, or technical experience.
• A Master’s degree in Data Engineering or Computer Science.
• Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
• Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
• Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
• Experience applying AI, machine learning, or LLM‑based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
• Experience working with large or complex data flows and creating defensible system designs and implementation plans.
• Strong professional judgment, curiosity, and attention to detail.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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