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Python Jobs in Detroit, MI (NOW HIRING)

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

This role is focused on designing scalable data models and developing high-quality, production-grade code in SQL and Python to support our enterprise analytics architecture. You will work across ...

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 services. Experience working with cloud computing platforms (e.g., Azure, AWS, or Google Cloud Platform ...

Intrepid Control Systems

Test Systems Engineer

Troy, MI

$90K - $115K/yr

Design and develop End-of-Line (EOL) test systems using Python and Rust, interfacing with electronic devices via CAN, LIN, UART, and Ethernet * Write, debug, and maintain production-quality code ...

Ford Motor Company

Platform Engineer

Dearborn, MI · On-site

$140K - $184K/yr

... using Python, Terraform, or YAML configuration files. 2. Utilizing Terraform for Infrastructure as Code (IaC), including experience with HCL syntax, state management, modules, and automated ...

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How much do python jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for python in Detroit, MI is $53.64, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.91 per hour, depending on experience, location, and employer.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

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

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Detroit, MI? The most popular types of Python jobs in Detroit, MI are:
What are popular job titles related to Python jobs in Detroit, MI? For Python jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Python jobs in Detroit, MI look for? The top searched job categories for Python jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Python jobs? Cities near Detroit, MI with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Detroit, MI as of July 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $111,567 per year, or $53.6 per hour.
Ontology Engineer

Ontology Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 26 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

The Global Purchasing Business Analytics Team at Stellantis is seeking a Ontology Engineer to build and maintain robust backend data solutions in support of global purchasing analytics. This role is focused on designing scalable data models and developing high-quality, production-grade code in SQL and Python to support our enterprise analytics architecture. You will work across platforms such as Snowflake, Palantir Foundry, Power BI, and potentially Databricks, helping the team evolve toward advanced capabilities, including AI-enhanced insights. While you'll collaborate closely with analysts and business stakeholders, this is a data engineering position - not a dashboard/reporting development role. As Stellantis operates globally with diverse and region-specific systems, you will often need to integrate fragmented data sources and iteratively develop solutions without complete documentation or available SMEs. Success in this role requires initiative, curiosity, and a self-starting mindset - someone who can function as a data entrepreneur: discovering and connecting data across domains to drive business value in a complex enterprise environment. You will work on a globally distributed team. Working hours must include at least 4 hours of overlap with Eastern Standard Time (EST) to ensure strong collaboration.
Key Responsibilities include but not limited to:
  • Develop, optimize, and maintain SQL / PySpark-based data models to support analytical applications in Global Purchasing
  • Partner with data analysts to understand analytical requirements and translate them into well-structured backend data solutions
  • Implement data validation, transformation, and automation logic to ensure high data quality
    Write clean, efficient, and maintainable code using SQL, Python/PySpark, and TypeScript (where applicable)
  • Explore and connect new or unfamiliar datasets in an iterative and self-directed manner, especially where formal documentation or SMEs are unavailable.
  • Collaborate with cross-functional teams to connect complex data into usable data models.
  • Contribute to the adoption of AI-driven tooling and workflows where applicable

Basic Qualifications:
  • Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or equivalent; Other technical degrees with business background also considered
  • 8 + years of experience in data engineering or related experience
  • Strong SQL coding skills
  • Familiarity with modern data platforms (e.g., Snowflake, Palantir Foundry, Databricks, etc.)
  • Experience with data modeling concepts, star/snowflake schemas, and analytics-ready data design
  • Ability to write clean, maintainable code and troubleshoot performance issues in large datasets
  • Comfortable working in a backend engineering role, supporting front-end dashboards without directly building reports.
  • Solid understanding of data pipelines, ETL/ELT workflows, and version control (e.g., Git)Strong self-learning skills and ability to work independently in ambiguous, data-discovery-driven scenarios.

Preferred Qualifications:
  • Proficiency in Python
  • Experience with TypeScript, especially in the context of Palantir or similar platforms
  • Familiarity with Power BI, but focused on backend data support rather than report creation
  • Exposure to AI/ML workflows or interest in supporting such projects
  • Experience working in Agile and/or cross-functional teams

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