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Junior Python Api Developer Jobs in Michigan (NOW HIRING)

Role: Jr. Full-Stack Developer Location: Warren, MI Duration: Long term About the role: · We're ... Go, Node.js, Python · Database: SQL-based systems (e.g., PostgreSQL, MySQL) · Authentication ...

Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters ... API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS ...

AWS tools (ECS, Lambda, API development). * Programming proficiency in Golang, Python, Node.js, Angular/Vue, Java. * Familiarity with data tools such as Snowflake or Glue (preferred). * DevOps ...

Stefanini is looking for a Software Developer (Dearborn, MI) For quick apply, please reach out to ... C#, Python, TypeScript) and modern API practices. * Experience with API design and lifecycle ...

Stefanini is looking for a Software Developer (Dearborn, MI) For quick apply, please reach out to ... C#, Python, TypeScript) and modern API practices. * Experience with API design and lifecycle ...

Create developer tools and platform services that improve developer experience (DX): templates ... C#, Python, TypeScript) and modern API practices.Experience with API design and lifecycle ...

ServiceNow developer

Dearborn, MI

$49.75 - $68.50/hr

JavaScript, API, REST APIs Skills Preferred: Python, Powershell, GitHub, Google Cloud Platform Experience Required: Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ ...

Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption). · ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

Expert-level Java development skills (Core Java, Multi-threading, and RESTful API consumption ... Familiarity with AI/ML frameworks (e.g., Python-based libraries like Scikit-learn or Pandas, or LLM ...

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Junior Python Api Developer information

What are some common challenges faced by Junior Python API Developers when integrating with third-party services?

Junior Python API Developers often encounter challenges such as understanding varied authentication methods (like OAuth or API keys), handling inconsistent data formats, and troubleshooting network or permission errors when integrating with third-party services. Additionally, documentation from external APIs can sometimes be incomplete or outdated, requiring extra investigation and testing. Collaborating with senior developers and utilizing debugging tools are effective ways to overcome these hurdles and ensure smooth integrations.

What does a Junior Python API Developer do?

A Junior Python API Developer is responsible for developing, testing, and maintaining APIs (Application Programming Interfaces) using the Python programming language. They typically work under the supervision of more experienced developers to build backend services that communicate between databases, servers, and front-end applications. Their tasks often include writing clean code, documenting endpoints, troubleshooting issues, and collaborating with team members to ensure APIs are efficient and secure. This role is a great entry point for those looking to build a career in software development, especially in backend or web services.

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

To thrive as a Junior Python API Developer, you need a solid understanding of Python programming, RESTful API concepts, and basic software development principles, often supported by a relevant degree or coursework. Familiarity with frameworks like Flask or Django, version control systems such as Git, and tools like Postman or Swagger is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and debug efficiently. These skills ensure you can develop, maintain, and integrate APIs that are robust, scalable, and meet project requirements.

What is the difference between Junior Python Api Developer vs Python Backend Developer?

AspectJunior Python Api DeveloperPython Backend Developer
Required SkillsBasic Python, API development, RESTful servicesPython, frameworks (Django/Flask), database integration
Experience LevelEntry-level, 0-2 yearsMid-level, 2+ years
Work EnvironmentStartups, small teams, internshipsTech companies, larger teams, project-based
CertificationsOptional Python certificationsOptional, but often includes Python or web development certs

In summary, Junior Python Api Developers focus on creating and maintaining APIs using Python, often with less experience and simpler projects. Python Backend Developers have broader responsibilities, including building entire backend systems, requiring more experience and knowledge of frameworks and databases.

What are the most commonly searched types of Python Api Developer jobs in Michigan? The most popular types of Python Api Developer jobs in Michigan are:
What are popular job titles related to Junior Python Api Developer jobs in Michigan? For Junior Python Api Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Junior Python Api Developer jobs in Michigan look for? The top searched job categories for Junior Python Api Developer jobs in Michigan are:
What cities in Michigan are hiring for Junior Python Api Developer jobs? Cities in Michigan with the most Junior Python Api Developer job openings:
Data Engineer (Python)

Data Engineer (Python)

Noblesoft Technologies

Auburn Hills, MI • On-site

$108K - $130K/yr

Contractor

Posted 15 days ago


Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

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.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of 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 pipelines for 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 using remote 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.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools