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

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 ...

Huntington

Software Development Engineer (Lead)

Detroit, MI · On-site +1

$70K - $140K/yr

Experience developing enterprise applications using Java and/or Python. * Experience building and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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 ...

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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 Sep 9, 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, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $138,566 per year, or $66.6 per hour.

MES Integration Engineer

Novi, MI • On-site, Remote

North Point- Commercial Engineering Talent Network
See more jobs at North Point- Commercial Engineering Talent Networkexternal

$97K - $131K/yr

Full-time

Re-posted 8 days ago

Job description

MES Integration Engineer

Location: Maumee, OH (Hybrid) or Remote (U.S.) with occasional travel to manufacturing plants

Responsibilities
  • Design, develop, and maintain software integrations between Manufacturing Execution Systems (MES) and enterprise applications.
  • Develop interfaces between MES platforms, SAP ERP, Oracle databases, and other upstream/downstream business systems.
  • Build and maintain REST APIs, web services, middleware, and data exchange solutions to support real-time manufacturing operations.
  • Develop custom software applications and integration services to automate manufacturing workflows.
  • Work with Ignition and manufacturing applications to support production monitoring and plant operations.
  • Develop and support integrations with traceability systems such as Argonaut.
  • Write, test, debug, and optimize code while following software development best practices.
  • Design SQL queries, stored procedures, and database integrations supporting manufacturing applications.
  • Troubleshoot software, interface, and data flow issues across MES, ERP, and plant systems.
  • Collaborate with Controls Engineers, MES Analysts, ERP teams, and Manufacturing Engineering to gather requirements and implement technical solutions.
  • Create technical documentation including interface specifications, API documentation, and system architecture diagrams.
  • Support system testing, deployment, production releases, and ongoing application enhancements.
  • Participate in global manufacturing digital transformation and Industry 4.0 initiatives.
Requirements / Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or related field, or equivalent professional experience.
  • 5+ years of software development experience.
  • Experience developing integrations between Manufacturing Execution Systems (MES) and enterprise applications.
  • Strong programming experience with one or more of the following:
    • C#
    • .NET
    • Java
    • Python
  • Experience developing REST APIs, web services, and system integrations.
  • Strong SQL development skills, including stored procedures and database design.
  • Experience integrating with SAP ERP, Oracle databases, or similar enterprise platforms.
  • Understanding of manufacturing environments and production workflows.
  • Experience troubleshooting production software and application integrations.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to travel occasionally to manufacturing facilities as needed.
Preferred Qualifications
  • Experience with Ignition by Inductive Automation.
  • Experience integrating or developing solutions for Argonaut traceability systems.
  • Experience working with SAP Manufacturing, Oracle Manufacturing, or other enterprise manufacturing platforms.
  • Knowledge of OPC UA, MQTT, and industrial communication protocols.
  • Experience developing manufacturing software for automotive or industrial environments.
  • Familiarity with Git, Azure DevOps, CI/CD pipelines, and Agile development methodologies.
  • Understanding of Industry 4.0, Smart Manufacturing, and Industrial IoT architectures.
  • Experience supporting global manufacturing deployments and multi-site production environments.
  • Exposure to PLCs, SCADA systems, or industrial automation technologies is a plus.