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Internship R Programming Language Jobs in Baltimore, MD

FPGA Hardware Design Engineer

Hanover, MD

$122K - $168K/yr

... Language (HDL) such as VHDL, and leveraging advanced design tools. Collaborate with cross ... Apply ASIC or FPGA place and route (P&R) tools with various libraries to create physical ...

FPGA Hardware Design Engineer

Hanover, MD ยท On-site

$122K - $168K/yr

... Language (HDL) such as VHDL, and leveraging advanced design tools. Collaborate with cross ... Apply ASIC or FPGA place and route (P&R) tools with various libraries to create physical ...

Software Developer - Senior

Fort George G Meade, MD ยท On-site

$60.50 - $79.75/hr

... Language (XML). The Senior .NET Core Developer will be a key contributor to the development and ... Develop new, cutting-edge software solutions for SENTINEL utilizing strong C# programming skills.

... Language (XML). The Senior .NET Core Developer will be a key contributor to the development and ... Develop new, cutting-edge software solutions for SENTINEL utilizing strong C# programming skills.

DevOps Engineer

Aberdeen, MD ยท On-site

$56.75 - $77.75/hr

As an DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP ... Basic scripting or programming ability in Go, Java, Python, Bash, or a comparable language

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Internship R Programming Language information

See Baltimore, MD salary details

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How much do internship r programming language jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for internship r programming language in Baltimore, MD is $17.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

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

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are popular job titles related to Internship R Programming Language jobs in Baltimore, MD? For Internship R Programming Language jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Baltimore, MD look for? The top searched job categories for Internship R Programming Language jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Internship R Programming Language jobs? Cities near Baltimore, MD with the most Internship R Programming Language job openings:
Infographic showing various Internship R Programming Language job openings in Baltimore, MD as of June 2026, with employment types broken down into 66% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $35,766 per year, or $17.2 per hour.
Data Architect & Technical Lead

Data Architect & Technical Lead

Technogen, Inc.

Annapolis, MD โ€ข On-site

Other

Posted 7 days ago


Job description

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.


Position Title: Data Architect & Technical Lead
Location: Location: Hybrid 2-3 days at office in Annapolis MD
Duration: 12 Months
Position Summary
This role will serve as the primary technical and analytical expert for the COMStat program. This role is responsible for designing and maintaining core data structure, developing data pipelines, leading advanced analytical work, and supporting the creation of dashboards, reports, and open data products.
Key Responsibilities
Data Architecture
  • Design, implement, and maintain the data architecture that supports COMStat dashboards, performance management, and analytic products.
  • Write complex and efficient SQL queries aligned with Teradata architecture and enterprise performance needs.
  • Build and manage ETL/ELT pipelines to ingest, transform, and structure internal and external datasets.
  • Integrate data from multiple systems, APIs, cloud platforms, and external sources to create comprehensive, analysis-ready datasets.
Analytical & Performance Management Support
  • Support team members in conducting advanced data analytics, including data modeling geospatial analysis, and trend identification.
  • Contribute to the development and maintenance of dashboards, reports, and scorecards using Power BI, Tableau, or similar tools.
  • Help translate complex analytical findings into clear, actionable insights using narratives, visualizations, and data stories.
  • Support analytic projects in integrating equity considerations into methods, metrics, and interpretation.
Required Qualifications
  • Bachelor's degree or relevant education, training or equivalent professional experience in data science, computer science, information systems, statistics, engineering, or a related field.
  • 5+ years of experience in data architecture or data engineering, including designing and managing data pipelines, data models, and enterprise data environments.
  • Strong proficiency in SQL, with experience optimizing complex queries in Teradata or comparable MPP databases (e.g., Snowflake, Redshift, BigQuery).
  • Hands-on experience building, maintaining, and troubleshooting ETL/ELT pipelines using modern data integration tools or workflow orchestration platforms.
  • Experience integrating data from APIs, cloud platforms, and enterprise systems into analysis-ready datasets.
  • Proficiency in a scripting or analytical programming language such as Python or R.
  • Experience supporting advanced analytical work, including preparing optimized datasets for statistical, geospatial, or trend analyses.
  • Familiarity with developing or supporting dashboards and reports using tools such as Tableau or Power BI.
  • Demonstrated ability to diagnose and resolve data workflow issues, pipeline failures, and dashboard/reporting errors.
  • Strong verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders at all levels.
Preferred Qualifications
  • Experience with Teradata ecosystem tools such as BTEQ, TPT, or Viewpoint.
  • Experience architecting or managing data systems in cloud environments (e.g., Azure, AWS, Google Cloud Platform).
  • Experience working with open data platforms or publishing public-facing datasets.
  • Familiarity with Stat programs, performance management systems, or public-sector analytics.
  • Experience incorporating equity considerations into analytic and technical work.
  • Experience with geospatial data or tools such as ArcGIS or QGIS.
  • Familiarity with data modeling frameworks (e.g., dimensional modeling) and metadata documentation practices.
  • Experience with workflow orchestration tools (e.g., Airflow, Azure Data Factory) or CI/CD practices for data pipelines.
Prasanna Borra
Talent Acquisition Specialist
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