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Commission Backend Developer Python Jobs in Detroit, MI

Develop software applications and backend systems using Python, C, C++, Java, and related ... Strong programming skills in Python, C / C++, Java, etc. * Experience with AI/ML technologies, APIs ...

Develop software applications and backend systems using Python, C, C++, Java, and related ... Strong programming skills in Python, C / C++, Java, etc. * Experience with AI/ML technologies, APIs ...

Required : • Bachelor's degree in Computer Science, Software Engineering, or a related field (or currently in final year) • Strong proficiency in Python and SQL for backend development and data ...

New

... developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. * Generally, platform engineers fall into two categories: backend ...

... developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale. * Generally, platform engineers fall into two categories: backend ...

Core Senior Engineer

Dearborn, MI · On-site

$112K - $148K/yr

... developer with expertise in Python and a strong foundation in cloud platforms to build and manage applications at scale. * Generally, platform engineers fall into two categories: backend engineers ...

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Commission Backend Developer Python information

See Detroit, MI salary details

$15.8K

$146.7K

$189.1K

How much do commission backend developer python jobs pay per year?

As of Jun 18, 2026, the average yearly pay for commission backend developer python in Detroit, MI is $146,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $165,800.00 per year, depending on experience, location, and employer.

What is the difference between Commission Backend Developer Python vs Data Engineer?

AspectCommission Backend Developer PythonData Engineer
Required SkillsPython, API development, database managementPython, SQL, ETL processes, data warehousing
Work EnvironmentWeb development, fintech, e-commerceData pipelines, analytics, big data platforms
CertificationsPython certifications, cloud platform credentialsData engineering certifications, cloud certifications

Commission Backend Developer Python and Data Engineer roles share skills in Python and cloud tools but differ mainly in focus: the former emphasizes API and backend development for commissions, while the latter centers on data pipelines and analytics. Both roles are common in tech and finance industries, often requiring similar credentials, but serve distinct functions within organizations.

What are popular job titles related to Commission Backend Developer Python jobs in Detroit, MI? For Commission Backend Developer Python jobs in Detroit, MI, the most frequently searched job titles are:
What cities near Detroit, MI are hiring for Commission Backend Developer Python jobs? Cities near Detroit, MI with the most Commission Backend Developer Python job openings:
Full Stack Software Engineer (Python, Angular & Cloud Platform)

Full Stack Software Engineer (Python, Angular & Cloud Platform)

HTC Global Services

Dearborn, MI • Hybrid

Other

Posted 2 days ago


Job description

Job Title

Full Stack Software Engineer (Python & Cloud Platform)

Overview

We are seeking a highly motivated Full Stack Software Engineer to join our Platform Engineering team. In this role, you will design, develop, and support scalable cloud-based platform services, data pipelines, and applications. You will contribute to modern cloud architectures, microservices, observability capabilities, and full-stack solutions while collaborating with cross-functional engineering teams.

The ideal candidate has strong Python development experience, cloud platform expertise, and the ability to independently design, develop, test, and release features following SDLC best practices.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing.
  • Design and implement service-oriented and microservices-based architectures.
  • Develop robust and scalable services using Python and cloud technologies.
  • Contribute to full-stack application development, including front-end and back-end integration.
  • Design and develop RESTful APIs for integration across platform services.
  • Lead data ingestion and integration from multiple sources into cloud-based platforms.
  • Utilize cloud services to build and manage scalable platform solutions.
  • Implement data governance, access controls, and security best practices.
  • Monitor, optimize, and improve platform performance, scalability, and reliability.
  • Develop and maintain unit and functional tests to ensure quality and test coverage.
  • Manage source code using GitHub and troubleshoot application defects.
  • Support CI/CD processes, Infrastructure as Code (IaC), and automation initiatives.
  • Collaborate with architects, software engineers, and cross-functional teams to establish best practices and design standards.
  • Automate platform processes to improve operational efficiency and reliability.
  • Independently manage feature design, development, testing, and production releases following SDLC best practices.
Required Qualifications Education
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Master's degree or equivalent experience preferred.
Experience
  • 5 8 years of experience as a Software Engineer.
  • Minimum 5 years of professional experience with Python.
  • Minimum 1 year of experience with Angular, React, or Vue.
  • Minimum 3 years of experience with Google Cloud Platform, AWS, or Azure cloud platforms.
  • Experience with Service-Oriented Architecture (SOA) and microservices.
  • Experience designing and developing RESTful APIs.
  • Experience with relational databases such as PostgreSQL or MySQL.
  • Experience with NoSQL databases and columnar databases such as BigQuery.
  • Experience with Git and CI/CD practices.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Java experience.
  • Experience with Google Cloud Platform services such as BigQuery, Cloud Run, and Pub/Sub.
  • Experience with observability platforms such as Dynatrace or Datadog.
  • Experience with Java Spring Boot.
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
  • Knowledge of front-end and back-end technologies including React and Node.js.
  • Google Cloud Platform Data Engineer or Google Cloud Platform Professional Cloud certifications.


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