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Python Programming Intern Jobs in Minnetonka, MN

HealthPartners

IT Intern

Bloomington, MN

$15 - $20/hr

In this role, the intern will assist with performance testing efforts and help expand our test ... programming or scripting languages (e.g., Java, JavaScript, or Python) Foundational knowledge of ...

New

Norstella

DevOps Engineer Intern

Saint Paul, MN · On-site +1

Intern Job ID: R-1950 Description About Norstella: Norstella is a premier and critical global life ... Basic programming exposure - Python, Bash, or any scripting experience is helpful * Strong written ...

Encephalo Investments

Software Development Intern

Woodbury, MN · On-site +1

$19.75 - $25.75/hr

... Intern, You Will Work remotely and closely with our software and quantitative developers to ... computer programming languages, with emphasis on Python, C++, and Java Excellent analytical ...

HealthPartners

IT Intern

Bloomington, MN · On-site

$15 - $20/hr

In this role, the intern will assist with performance testing efforts and help expand our test ... programming or scripting languages (e.g., Java, JavaScript, or Python) Foundational knowledge of ...

New

Danaher

Software Engineer Internships

Plymouth, MN · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Danaher

Software Engineer Internships

Minneapolis, MN

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

IDeaS

Software Engineer in Test Intern

Minneapolis, MN · Hybrid

Python * Data Validation: Ensure the accuracy and integrity of data used in analytics. * Model ... Relevant certifications in software testing or programming languages/frameworks will be an added ...

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Python Programming Intern information

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

To thrive as a Python Programming Intern, you need a foundational understanding of Python syntax, problem-solving abilities, and a basic grasp of software development principles, often evidenced by relevant coursework or personal projects. Familiarity with tools like Git, Jupyter Notebook, and frameworks such as Flask or Django is typically expected. Strong communication, eagerness to learn, and teamwork skills help interns adapt quickly and collaborate effectively. These skills and qualities are vital for successfully contributing to real-world projects, learning from mentors, and building a foundation for a software development career.

What types of projects can I expect to work on as a Python Programming Intern, and how are they typically structured?

As a Python Programming Intern, you will often be assigned to real-world projects such as data analysis scripts, web application features, or automation tools, depending on the organization's focus. These projects are usually structured with clear objectives and milestones, and you'll likely collaborate with more experienced developers through code reviews and regular check-ins. You can expect to work both independently and as part of a team, gaining exposure to professional codebases, version control systems like Git, and agile development practices. This hands-on experience is designed to help you build practical skills while contributing meaningfully to the team's goals.

What does a Python Programming Intern do?

A Python Programming Intern assists with software development tasks using the Python programming language. Typical responsibilities include writing and testing code, debugging software, collaborating with team members on projects, and learning best practices for coding and version control. Interns often work on real-world projects to gain hands-on experience and improve their programming skills. They may also participate in meetings, contribute to documentation, and support the development team in various tasks.

What is the difference between Python Programming Intern vs Data Science Intern?

AspectPython Programming InternData Science Intern
Required SkillsPython, basic programming, scriptingPython, statistics, data analysis
Work EnvironmentDevelopment projects, coding tasksData analysis, modeling, research
Industry UsageSoftware, tech companies, startupsFinance, healthcare, tech

The Python Programming Intern typically focuses on coding and software development using Python, often in tech or startup environments. In contrast, a Data Science Intern combines Python skills with data analysis and statistical methods to derive insights. Both roles require Python knowledge but differ in their focus and application areas, making them distinct yet related entry-level positions in the tech industry.

What are the most commonly searched types of Python Programming jobs in Minnetonka, MN? The most popular types of Python Programming jobs in Minnetonka, MN are:
What cities near Minnetonka, MN are hiring for Python Programming Intern jobs? Cities near Minnetonka, MN with the most Python Programming Intern job openings:
Python Programming Intern jobs near you
IT Intern

IT Intern

HealthPartners

Bloomington, MN

$15 - $20/hr

Other

Posted 2 days ago

HealthPartners rating

7.8

Company rating: 7.8 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

131st of 865 rated healthcare providers

Job description

HealthPartners is currently hiring an Intern. The Quality Engineering team is seeking an intern to provide temporary support for key initiatives focused on improving the stability, resilience, and overall quality of our digital systems. In this role, the intern will assist with performance testing efforts and help expand our test automation capabilities, contributing to the goal of building quality into our systems by design and standardizing practices that support the organization's "operate as a system" mindset.

This internship offers hands-on experience working alongside experienced quality and engineering professionals while gaining exposure to modern quality engineering practices. The Intern will have the opportunity to develop technical skills, learn how quality engineering supports large-scale digital platforms, and contribute meaningfully to real-world initiatives.

Required Qualifications:

Pursuing a Bachelor's degree in Computer Science, Information Technology, or a related field
Basic understanding of software development lifecycle (SDLC) and testing concepts
Strong knowledge with programming or scripting languages (e.g., Java, JavaScript, or Python)
Foundational knowledge of web and/or mobile application and testing
Strong analytical, problem-solving, and communication skills
Ability to learn quickly and work collaboratively within a team environment

 

Preferred Qualifications:

Basic knowledge on AI tools and technologies.

Exposure to test automation and performance engineering tools (e.g., Selenium, Cypress, jMeter, or similar tools and technologies)
Familiarity with API testing tools (e.g., Postman, Rest Assured)
Awareness of CI/CD pipelines and DevOps practices
Interest in quality engineering practices such as shift-left testing and automation-first approaches
Exposure to monitoring or observability tools is a plus

Hours/Location:

  • M-F; core business hours
  • This is a full-time temporary position / 40 hours per week. (3 month duration with the possibility of extension)

Responsibilities:

Assist in developing and executing Automation and performance test scripts and analyzing results to identify system bottlenecks 
Support automation efforts by building and maintaining automated tests for web and mobile applications
Participate in functional, regression, and integration testing activities
Help configure and maintain test environments and tools required for testing 
Contribute to integrating automated tests into CI/CD pipelines for continuous validation and feedback 
Collaborate with developers, QE engineers, and cross-functional teams to ensure quality throughout the development lifecycle
Document test cases, test results, and defects clearly and effectively
Assist in analyzing application performance, identifying trends, and supporting stability improvements
Learn and apply QE best practices, contributing to standardization and "operate as a system" mindset

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