Digital Solutions Intern

IEEEPiscataway, NJ
16h

About The Position

We’re looking for a motivated Information Technology Intern who’s eager to learn, experiment, and contribute to real projects. This internship is designed to provide a meaningful learning experience, helping you understand both the technical depth and the professionalism required to succeed in modern IT environments. You’ll gain exposure to the full Enterprise Application Lifecycle and work under the guidance of experienced IT professionals. The role emphasizes hands-on learning across real‑world Enterprise Networks, Web Applications, Artificial Intelligence, Data Engineering, and Business Intelligence. You’ll also have the opportunity to share your own insights and recommendations, bringing a fresh student perspective to improve processes and workflows. What You’ll Learn The technical and professional expectations of working in an IT organization How enterprise systems are designed, deployed, and maintained Practical data engineering and business intelligence workflows Fundamentals of enterprise‑grade web applications and network environments Agile methodologies, project management tools, and cross-team collaboration How to evaluate and improve processes from an end-user or team-member perspective

Requirements

  • Basic understanding of programming concepts (Python, JavaScript, Java, AI ,or similar)
  • Strong communication skills and attention to detail
  • Curiosity, willingness to learn, and a collaborative mindset
  • Senior year in Bachelor's degree program or higher in Computer Science, Information Technology, Data Science, or a related discipline.

Nice To Haves

  • Familiarity with data analysis tools or web technologies is a plus

Responsibilities

  • Create, update, and organize technical documentation for systems, processes, and applications
  • Assist in building internal knowledge bases, user guides, and workflow diagrams
  • Translate technical concepts into clear, user‑friendly content
  • Support data collection, cleaning, and preprocessing activities
  • Explore datasets and contribute to dashboards, visualizations, and analytical insights
  • Assist in developing simple predictive models and data pipelines
  • Learn and apply tools such as Python, SQL, Excel, or BI platforms
  • Assist in evaluating LLM models
  • Contribute to front‑end or back‑end development tasks under guidance
  • Help test, debug, and document web applications
  • Learn modern frameworks, version control, and deployment workflows
  • Participate in code reviews and collaborative development practices
  • Work with cross‑functional teams to deploy and manage applications and services
  • Monitor and optimize infrastructure performance in real-world environments
  • Learn and apply security best practices and compliance considerations
  • Automate processes and tasks using scripting or workflow tools
  • Troubleshoot and resolve technical issues across multiple systems
  • Stay current with emerging technologies, tools, and industry best practices
  • Contribute to multiple concurrent projects and products in a dynamic setting
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