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Remote Python Engineer Jobs in Detroit, MI (NOW HIRING)

Cavnue

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

This is a fully remote, hands-on individual contributor role with meaningful ownership across core ... Design, build, and maintain high-throughput, low-latency C++, Go, and Python services, for core ...

Ford Motor Company

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... 1. Utilizing Python, JavaScript, Java, and test automation tools, platforms, and frameworks ... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

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Showing results 21-40

All JobsPython Engineer JobsRemote Python Engineer JobsRemote Python Engineer Jobs in Detroit, MI

Remote Python Engineer information

See Detroit, MI salary details

$22.8K

$138.6K

$200.5K

How much do remote python engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote python engineer in Detroit, MI is $138,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a remote Python engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What are some common challenges faced by remote Python engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are popular job titles related to Remote Python Engineer jobs in Detroit, MI?

For Remote Python Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Python Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Python Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Python Engineer jobs?

Cities near Detroit, MI with the most Remote Python Engineer job openings:

Remote Python Engineer jobs near you
Infographic showing various Remote Python Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $138,566 per year, or $66.6 per hour.

Agentic Software Engineer (Google Antigravity) - Remote - USA

FullStack Labs

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire an Agentic Software Engineer (Google Antigravity) to join our team. You'll work with one of our incredible product teams to build and deliver a product to our clients.
What We Are Looking For
  • 5+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, etc.).
  • Deep experience using Google Antigravity as a primary development environment to coordinate AI-driven implementation across large, multi-file systems while maintaining architectural oversight.
  • Experience delivering production software where AI systems generate the majority of implementation code.
  • Strong context engineering skills, including structuring codebases, specifications, and documentation to produce reliable, context-efficient AI output.
  • Ability to translate complex product requirements into machine-executable, AI-friendly specifications.
  • Experience designing AI-first development workflows from specification through deployment.
  • Ability to systematically improve AI-generated output through structured iteration and feedback loops.
  • Comfort working across multiple stacks, using AI to deliver high-quality, production-ready systems.
  • Experience operating across frontend, backend, and infrastructure in AI-accelerated environments.
  • Disciplined human-in-the-loop review practices, with risk-adjusted validation for high-impact or safety-critical flows.
  • Strong curiosity and initiative in evaluating and adopting emerging AI-native engineering practices.
  • Advanced understanding of Agile methodologies and Lean principles and participation in team ceremonies as well as asynchronous work.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • A positive mindset and a can-do attitude.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on commitments.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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