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Python Django Intern Jobs in Pennsylvania (NOW HIRING)

Python Django Intern information

See Pennsylvania salary details

$23.1K

$115.4K

$400.5K

How much do python django intern jobs pay per year?

As of Aug 15, 2026, the average yearly pay for python django intern in Pennsylvania is $115,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $159,400.00 per year, depending on experience, location, and employer.

What is a Python Django intern?

A Python Django Intern job is an internship role where individuals gain hands-on experience in developing web applications using the Django framework and Python. Interns typically work on backend development, database management, API integrations, and debugging under the guidance of senior developers. The role helps aspiring developers strengthen their programming skills, understand software development workflows, and build real-world applications.

What types of projects or tasks can I expect to work on as a Python Django intern?

As a Python Django Intern, you will typically support the development team by contributing to backend features, fixing bugs, writing and optimizing code, and assisting with database management. You may also help build and test RESTful APIs, work on integrating third-party libraries, and participate in regular code reviews. Interns often collaborate closely with senior developers, front-end engineers, and sometimes UI/UX designers to ensure seamless project execution. This hands-on experience not only builds your technical proficiency but also offers insight into professional software development processes and teamwork in a real-world setting.

What are the key skills and qualifications needed to thrive as a Python Django intern, and why are they important?

To thrive as a Python Django Intern, you need a solid understanding of Python programming, basic web development concepts, and familiarity with the Django framework, often supported by coursework or project experience. Exposure to version control systems like Git, databases such as PostgreSQL or MySQL, and foundational knowledge of REST APIs is typically beneficial. Strong problem-solving abilities, eagerness to learn, effective communication, and teamwork are valuable soft skills in this role. These competencies enable interns to contribute effectively to development projects and collaborate smoothly in dynamic tech environments.

What are the most commonly searched types of Python Django jobs in Pennsylvania?

The most popular types of Python Django jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Python Django Intern jobs?

Cities in Pennsylvania with the most Python Django Intern job openings:

Infographic showing various Python Django Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 10% Part Time, 6% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $115,383 per year, or $55.5 per hour.

AI & Data Science Intern

Carlisle Companies, Inc.

Carlisle, PA • On-site

Full-time

Re-posted 10 days ago


Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.
Duties and Responsibilities:
  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:
  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:
Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.
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