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Internship Streamlit Jobs (NOW HIRING)

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

... internships * Demonstrative experience with at least one modern programming language (Python, C ... Streamlit, or similar technologies. * Familiarity with AI orchestration frameworks such as ...

Hexion Careers

AI Applications Developer

OH · Remote

Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or ... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ...

Hexion, Inc.

AI Applications Developer

OH · On-site +1

Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or ... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ...

Hexion, Inc.

AI Applications Developer

OH

Build user-facing surfaces with Microsoft Copilot Studio, Power Apps, Teams apps, Streamlit, or ... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ...

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How much do internship streamlit jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship streamlit in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an Internship Streamlit position?

An Internship Streamlit position is a temporary role, typically for students or recent graduates, focused on learning and contributing to projects using Streamlit, an open-source Python library for building interactive web applications. Interns in this role often assist with developing data-driven dashboards, visualizations, and tools, gaining hands-on experience with both Python programming and web app deployment. The internship provides an opportunity to work on real-world projects, collaborate with experienced developers, and improve technical and problem-solving skills.

What types of projects can I expect to work on during a Streamlit internship?

As a Streamlit intern, you can expect to work on a variety of hands-on projects that involve building interactive data applications using the Streamlit framework. Typical responsibilities include collaborating with data scientists and engineers to prototype dashboards, visualizing datasets, and contributing to open-source projects. Interns often participate in team meetings, code reviews, and may have the opportunity to present their work to stakeholders, gaining valuable feedback. This environment offers a great opportunity to develop both technical skills and an understanding of how data-driven applications are developed in a professional setting.

What are the key skills and qualifications needed to thrive as an Internship Streamlit, and why are they important?

To thrive in a Streamlit internship, you need a solid grasp of Python programming, data analysis, and basic web development concepts, often backed by coursework or project experience. Familiarity with Streamlit, Git, and data visualization libraries like Pandas and Matplotlib is typically required. Strong problem-solving abilities, curiosity, and clear communication help interns effectively collaborate and learn from mentors. These skills are crucial for building interactive data apps, contributing to team projects, and accelerating your growth in a real-world tech environment.

What is the difference between Internship Streamlit vs Data Analyst Intern?

AspectInternship StreamlitData Analyst Intern
Required skillsBasic Python, familiarity with Streamlit, data visualizationExcel, SQL, data analysis, visualization
Work environmentTech startups, software development teamsBusiness, finance, marketing departments
Industry usageTech, software, data science projectsBusiness intelligence, market research

Internship Streamlit focuses on building interactive data apps using Streamlit, requiring basic Python skills. Data Analyst Internships involve analyzing datasets, creating reports, and using tools like Excel and SQL. While both roles involve data visualization, Streamlit internships emphasize app development, whereas Data Analyst Internships focus on data interpretation. Both are common in tech and business sectors, but they serve different functions in data projects.

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Internship Streamlit jobs near you
Mid-level Software Developer

Mid-level Software Developer

deciBel Research, Inc.

Huntsville, AL • On-site

Full-time

Posted 8 days ago

Job description

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL.

Position Description:

We are seeking a mid-level AI Software Developer (5–10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.

You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.

Responsibilities Include

  • Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices.
  • Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources.
  • Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers.
  • Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies.
  • Create scalable data models and services that support analytics, reporting, and digital engineering initiatives.
  • Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment.
  • Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures.
  • Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities.
  • Prototype innovative AI solutions and mature successful concepts into production-ready software.
  • Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges.

Education Requirements:

BS Computer Science or Computer Engineering

Experience Requirements:

  • A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships.
  • Demonstrative experience with at least one modern programming language (Python, C++, Rust)
  • Experience with Linux operating system
  • Built at least one meaningful service/API
  • System-level thinking
  • Git + Linux proficiency
  • Curiosity, problem-solving, and a willingness to experiment.
  • Comfort working in collaborative, iterative development environments.
  • Strong communication skills and a desire to grow.

Special Skills Desired:

  • 5–10 years of software development experience with strong proficiency in Python or similar scripting languages.
  • Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies.
  • Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools.
  • Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
  • Experience developing RESTful APIs and working with structured and unstructured data.
  • Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.


Job Posted by ApplicantPro