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Temporary R Programmer Jobs in Southington, CT (NOW HIRING)

Trinity College

Data & AI Integrations Engineer

Hartford, CT · On-site

$115K - $138K/yr

... Temporary Regular Hours Per Week 40 FLSA Determination Exempt Weeks Per Year 52 Open Date 08/04 ... R, and C#). * Demonstrated experience with APIs, authentication designs, and networking ...

All JobsTemporary R Programmer JobsTemporary R Programmer Jobs in Southington, CT

Temporary R Programmer information

See Southington, CT salary details

$81.2K

$125.9K

$153.3K

How much do temporary r programmer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for temporary r programmer in Southington, CT is $125,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $141,600.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on as a Temporary R Programmer, and how is my work typically integrated with the broader team?

As a Temporary R Programmer, you'll often be tasked with data cleaning, statistical analysis, and generating reports or visualizations using R. You might work on short-term research projects, contribute to automating data processing pipelines, or assist in updating existing codebases. Collaboration is common—you'll likely interact with data scientists, analysts, or domain experts to understand project requirements and ensure your outputs align with team goals. Clear communication and the ability to quickly adapt to new datasets or coding standards are key for success in this fast-paced, project-driven environment.

What's the easiest coding job to get?

A temporary R programmer role is often considered accessible for those with basic programming skills and familiarity with R. Entry-level positions may require minimal experience and focus on data analysis or reporting tasks, making them easier to obtain compared to more specialized or senior roles.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Skills in data manipulation, statistical modeling, and proficiency with tools like RStudio increase employability, with many roles requiring experience in data visualization and machine learning.

Is R in high demand?

R programming skills are in high demand across industries such as data analysis, research, and finance, especially for roles involving statistical computing and data visualization. Employers seek professionals proficient in R for tasks like data cleaning, modeling, and reporting, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.

What is the difference between Temporary R Programmer vs Data Analyst?

AspectTemporary R ProgrammerData Analyst
CredentialsProficiency in R, possibly some programming certificationsStatistical or data analysis background, often with R, SQL, or Excel skills
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed by companies needing specialized programming for data tasksUsed across industries for interpreting data and generating reports

The main difference is that a Temporary R Programmer focuses primarily on coding and programming tasks in R for specific projects, while a Data Analyst interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but the Temporary R Programmer is more specialized in programming, often working on technical tasks for limited periods.

What jobs can you get with R programming?

A Temporary R Programmer can find roles such as data analyst, statistical analyst, data scientist, or research analyst, often working in industries like healthcare, finance, or technology. These positions typically require strong statistical skills, proficiency in R, and the ability to handle large datasets, sometimes with experience in data visualization and reporting tools.

What are Temporary R Programmers?

Temporary R Programmers are professionals hired on a short-term basis to perform programming tasks using the R language, typically for data analysis, statistical modeling, or data visualization projects. They may work on specific projects, help with data cleaning, or support research and development teams. Their contracts are usually limited in duration and may be extended based on project needs. Temporary R Programmers often work in academic, healthcare, finance, or tech settings where R programming expertise is required for a set period.

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

To thrive as a Temporary R Programmer, you need strong programming skills in R, a background in statistics or data science, and experience with data manipulation and analysis. Familiarity with RStudio, version control systems like Git, and possibly packages such as tidyverse or Shiny is typically required. Strong problem-solving, attention to detail, and effective communication help you deliver accurate results and collaborate with team members. These skills and tools are crucial for efficiently analyzing data and supporting project objectives within tight timelines.
Temporary R Programmer jobs near you
Infographic showing various Temporary R Programmer job openings in Southington, CT as of June 2026, with employment types broken down into 25% Full Time, 65% Part Time, and 10% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $125,905 per year, or $60.5 per hour.
Data & AI Integrations Engineer

Data & AI Integrations Engineer

Trinity College

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 23 days ago

Job description

Posting Details
Position Information
Title
Data & AI Integrations Engineer
Department
LITS
Regular or Temporary
Regular
Hours Per Week
40
FLSA Determination
Exempt
Weeks Per Year
52
Open Date
08/04/2025
Open Until Filled
Yes
Full or Part Time
Full Time
Position Summary
Trinity is a highly selective, independent, nonsectarian liberal arts institution located in the capital city of Hartford, Connecticut. The college maintains a rigorous academic profile complemented by a vibrant co-curricular program. With more than 2,100 full-time undergraduate students, representing forty-three states and ninety-one countries, we consider our location in a culturally and socioeconomically diverse capital city to be among Trinity's most distinctive assets; and we cultivate strong connections with our surrounding neighbors and with institutions and organizations throughout Hartford and the region. As a preeminent liberal arts college in an urban setting, Trinity College prepares students to be bold, independent thinkers who lead transformative lives.
Our recently merged analytics and enterprise applications team is at the center of several current and planned initiatives that will enhance the College's ability to use data, analytics, and AI as strategic differentiators. As the Data & AI Integrations Engineer, you will design and build pipelines, data models, intelligent services, and the interconnectivity that power everything from our next-generation data platform and ERP to campus-wide knowledge management.
This is a hands-on, "full-stack data" role for someone who thrives on variety: one day you'll orchestrate a pipeline to load and transform new data into our Fabric lakehouse; the next you'll craft an API-driven integration, stand up a SharePoint knowledge hub, or prototype a chatbot that improves the Trinity digital experience for students, employees, and other constituents. Your work will contribute to our team's efforts to effectively manage data and reveal insights.
Duties and responsibilities include:
  • Design, develop, optimize, and operate data pipelines in Microsoft Fabric and related tools for the efficient collection, storage, transformation, and presentation of data.
  • Implement data quality, lineage, and metadata-driven practices to support high-quality, fit for purpose data products, supporting analytics, reporting, integration, and AI use cases.
  • Design, build, and operate secure integrations among enterprise applications, SaaS, on-prem systems, and external data sources using iPaaS, ELT tools, and custom code.
  • Co-administer the institutional data platform with repeatable patterns, CI/CD, and automation for enterprise-grade data solutions and maintain best practice templates for self-service development by power users.
  • Partner with application developers and administrators to prototype and operationalize AI/ML services, utilizing capabilities within Microsoft Fabric, Azure, M365, and other tools.
  • Partner with information security to ensure solutions align with best practices.
  • Co-administer SharePoint Online with a focus on enabling knowledge management capabilities and integration with Power BI and Fabric.
  • Translate business requirements from analysts and subject matter experts into resilient technical designs, while maintaining robust documentation of standards, processes, and designs.
  • Perform other related duties as assigned and based on departmental need.

Qualifications
  • A bachelor's degree in computer science, information systems, engineering, or a related field is preferred.
  • A minimum of 3-5 years of relevant work experience is required (5-8 years preferred).
  • Experience building production data pipelines and/or application integrations (preferably in a cloud environment).
  • Demonstrated expertise with SQL and at least one high-level programming language (preferably Python, R, and C#).
  • Demonstrated experience with APIs, authentication designs, and networking considerations.
  • Experience administering SharePoint Online sites and platforms, and other related Microsoft 365 workloads.
  • Working knowledge of AI/ML concepts and services, model evaluation, and prompt engineering.
  • Familiarity with data visualization tools (e.g., Power BI and Tableau), data preparation tools (e.g., Tableau Prep Builder), and survey administration tools (e.g., Qualtrics).
  • Strong problem-solving, analytical, time management, and communication skills.
  • Understanding of higher education data sets, concepts, business practices, and reporting requirements.
  • Ability to uphold a professional code of ethics and maintain confidentiality.

Special Instructions to Applicants
All applicants must apply online by submitting their resume, cover letter and three references.
Posting Number
S01049
Quick Link
https://trincoll.peopleadmin.com/postings/3625

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