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Junior Python Developer Internship Jobs in Rochester, MI

Go, Node.js, Python Database: SQL-based systems (e.g., PostgreSQL, MySQL) Authentication ... coursework, internships, or personal projects welcome) Familiarity with full-stack development ...

Go, Node.js, Python · Database: SQL-based systems (e.g., PostgreSQL, MySQL) · Authentication ... internships, or personal projects welcome) · Familiarity with full-stack development using React ...

Direct exposure to automotive manufacturing environments required co-op, internship, or early ... Duties of the Junior Material Flow Engineer * Support the design, documentation, and field ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

The Junior Material Flow Engineer supports the design, documentation, and field verification of ... Direct exposure to automotive manufacturing environments required - co-op, internship, or early ...

The Junior Material Flow Engineer supports the design, documentation, and field verification of ... Direct exposure to automotive manufacturing environments required - co-op, internship, or early ...

The Junior Material Flow Engineer supports the design, documentation, and field verification of ... Direct exposure to automotive manufacturing environments required -- co-op, internship, or early ...

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Showing results 1-20

Junior Python Developer Internship information

See Rochester, MI salary details

$22.1K

$81.9K

$126.6K

How much do junior python developer internship jobs pay per year?

As of Jul 10, 2026, the average yearly pay for junior python developer internship in Rochester, MI is $81,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $80,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Python Developer Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and often a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of databases, and experience with frameworks such as Django or Flask are typically expected. Strong communication, eagerness to learn, and the ability to collaborate in a team environment are valuable soft skills. These competencies are crucial for effectively contributing to projects, adapting to new technologies, and growing within a technical team.

What kinds of projects and tasks can I expect to work on during a Junior Python Developer Internship?

As a Junior Python Developer Intern, you will typically assist with developing and maintaining Python-based applications, writing and testing code, and debugging existing software under the guidance of more experienced developers. You may be assigned to work on tasks such as automating processes, building simple scripts, contributing to backend services, or supporting data analysis efforts. Interns often participate in team meetings, collaborate with other developers, and receive mentorship to help them grow their technical skills and understand real-world software development workflows.

What is the difference between Junior Python Developer Internship vs Junior Software Developer?

AspectJunior Python Developer InternshipJunior Software Developer
Required CredentialsBasic programming knowledge, often pursuing or recent graduate in CS or related fieldSimilar, often with some experience or coursework in software development
Work EnvironmentInternship setting, learning-focused, often in tech companies or startupsEntry-level position, more responsibility, in various industries
Employer & Industry UsageCommon in tech companies, startups, and software firmsWidespread across industries including tech, finance, healthcare

The main difference is that a Junior Python Developer Internship is a temporary, learning-focused role aimed at gaining Python-specific skills, while a Junior Software Developer is a full-time entry-level position with broader responsibilities in software development. Internships often serve as a stepping stone to full-time roles, whereas Junior Software Developers are expected to contribute to ongoing projects.

What is a Junior Python Developer Internship?

A Junior Python Developer Internship is an entry-level position designed for students or recent graduates who want to gain practical experience in software development using the Python programming language. Interns work under the guidance of experienced developers and contribute to projects by writing code, debugging, testing, and participating in team meetings. The internship helps individuals build technical skills, understand professional workflows, and improve their problem-solving abilities. It's an excellent opportunity to learn industry best practices and potentially secure a full-time role after the internship.
What are popular job titles related to Junior Python Developer Internship jobs in Rochester, MI? For Junior Python Developer Internship jobs in Rochester, MI, the most frequently searched job titles are:
Infographic showing various Junior Python Developer Internship job openings in Rochester, MI as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $81,898 per year, or $39.4 per hour.
Python Technical Architect/ Lead

Python Technical Architect/ Lead

Conflux Systems

Auburn Hills, MI • On-site

$138K - $169K/yr

Full-time

Re-posted 10 days ago


Job description

Job Title: Sr Python Developer & Lead
Location: Auburn Hills, MI- Onsite
Remote work: No
Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration
Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Technical Experience:
1. Hands-on Data Engineering : Minimum 5+ yearsof practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelinesfor data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and usingremote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools.