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Senior Python Developer Jobs in Detroit, MI (NOW HIRING)

K Anand Corporation

Senior Data Engineer

Detroit, MI · On-site

$97K - $131K/yr

The ideal candidate has strong hands-on experience with Snowflake on AWS, Python-based ETL/ELT ... DevOps, Security, BI, and business stakeholders). * Strong ownership mindset, problem-solving ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Python, Java, C#, or TypeScript/JavaScript. Experience developing REST APIs and distributed ... Ability to independently deliver AI features while working under technical guidance from senior ...

Apex Systems

Sr AI Platform Engineer

Dearborn, MI · On-site

$51 - $65.50/hr

Job#: 3047770 Role: Sr AI Platform Engineer Location: Hybrid Duration: Long-Term Contract Rate ... Python * Large Language Models (LLMs) * Generative AI * Agentic AI Frameworks * Retrieval-Augmented ...

Pi Square Technologies LLC

Senior DevOps Engineers

Detroit, MI · On-site

$128K - $165K/yr

Senior DevOps Engineers Role Summary We are seeking a Senior Cloud DevOps Engineer to assist in the ... Proficiency in scripting with Python and Bash. * Experience with tools like Git, Jenkins, and ...

Zobility

Senior Software Engineer/Developer

Wixom, MI · On-site

$117K - $154K/yr

Job Summary : Zobility, a division of RGBSI, is seeking a Senior Software Engineer to lead ... Python, ASP.NET • Web based application, UI design and development • Experience with APIs and ...

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All JobsPython Developer JobsSenior Python Developer JobsSenior Python Developer Jobs in Detroit, MI

Senior Python Developer information

See Detroit, MI salary details

$50.3K

$129.9K

$178.4K

How much do senior python developer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior python developer in Detroit, MI is $129,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $149,600.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What are the key skills and qualifications needed to thrive as a senior Python developer?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

Are senior Python developers still in demand?

Senior Python developers remain in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Companies seek experienced developers with skills in frameworks like Django or Flask, and proficiency in cloud platforms and APIs enhances job prospects.

How much does a senior Python developer make?

A senior Python developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may hold certifications or advanced degrees that influence salary levels.

What does a senior Python developer do?

A senior Python developer designs, develops, and maintains complex software applications using Python. They often lead projects, review code, optimize performance, and collaborate with cross-functional teams, requiring strong problem-solving skills and knowledge of frameworks like Django or Flask. Additionally, they may mentor junior developers and ensure code quality through testing and best practices.

What are the most commonly searched types of Python Developer jobs in Detroit, MI?

The most popular types of Python Developer jobs in Detroit, MI are:

What are popular job titles related to Senior Python Developer jobs in Detroit, MI?

For Senior Python Developer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in Detroit, MI look for?

The top searched job categories for Senior Python Developer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Senior Python Developer jobs?

Cities near Detroit, MI with the most Senior Python Developer job openings:

Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $129,906 per year, or $62.5 per hour.

Python Technical Architect/ Lead

Auburn Hills, MI • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$138K - $169K/yr

Full-time

Re-posted 3 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.

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