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Hourly Python Jobs in Detroit, MI (NOW HIRING)

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

Pwc

GenAI Python Systems Engineer-Director

Detroit, MI

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

RHP Staffing

Corporate- AI Engineer

Farmington, MI · On-site +1

Strong Python programming (AI/ML, automation, APIs) experience * Experience building real-world AI applications or automation systems * Hands-on experience with LLMs and prompt engineering

Aquent

Network Engineer

Warren, MI · On-site

$40 - $45/hr

Placement Type: Temporary Salary: $40-45 Hourly Start Date: May 25, 2026 This is an exciting ... Develop and implement network deployment tools using scripting languages such as Python or C#.

RXO

Forward Deployed Engineer

Southfield, MI · On-site

Advanced proficiency in Python, SQL, PowerBI/Tableau, and CPLEX, with hands-on experience in ML, Agentic AI, and GenAI platforms and frameworks (GCP tech stack preferred) * Proven track record of ...

MSX International

AI Digitalization Expert

Troy, MI · On-site

$115.20K - $155K/yr

Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus. * Proficiency in English is a must. * Candidate needs to be located either in Troy, MI or Irvine, MI. Additional ...

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How much do hourly python jobs pay per hour?

As of May 31, 2026, the average hourly pay for hourly python in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

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

To succeed as an Hourly Python Developer, you need strong programming skills in Python, experience with frameworks like Django or Flask, and a solid understanding of software development principles. Familiarity with version control systems such as Git, cloud platforms, and possibly certifications like PCEP or PCAP are often expected. Effective communication, problem-solving abilities, and adaptability help you collaborate with clients and teams while managing project-based workloads. These competencies ensure you can deliver high-quality, efficient solutions in dynamic and time-sensitive environments.

What types of projects can Hourly Python developers expect to work on, and how does the project structure typically look?

Hourly Python developers are often brought in to support a variety of short-term or specialized projects, such as data analysis, web application enhancements, automation scripts, or bug fixes. The work structure is usually project-based, with clear deliverables and timelines set by the client or team lead. Collaboration might happen remotely with regular check-ins via chat or video calls, and developers are expected to manage their own time efficiently. This role offers exposure to diverse projects and technologies, making it ideal for those who enjoy variety and learning new tools.

What does an Hourly Python developer do?

An Hourly Python developer is a programmer who is hired on an hourly basis to create, modify, or maintain software using the Python programming language. Their tasks can range from developing web applications and automating tasks to analyzing data or building machine learning models. Hourly Python developers are often engaged for specific projects or short-term work, allowing businesses to scale their development resources as needed. They may work independently or as part of a team, and are usually paid based on the number of hours worked rather than a fixed salary.
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Hourly Python jobs near you

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105.20K - $126.30K/yr

Contractor

Posted 28 days ago

Job description

Role: GCP Data Engineer with Python
Location: Dearborn, MI (4 days a week onsite)
Job Type: Contract
 
Experience: Overall 8 to 12 years

Job Summary:
  • The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team’s upskilling initiative by contributing to data engineering efforts across cloud and traditional platforms.
  • This role is intended to accelerate development and delivery.
  • The engineer will work closely with cross-functional teams to build, optimize, and maintain data pipelines and workflows using GCP, Python, and ETL tools.

Required Technical Skills:
  • Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP), specifically using Astronomer/Composer for orchestration.
  • Strong proficiency in Python for data engineering and automation.
  • Experience with RDBMS technologies such as DB2 and Teradata.
  • Exposure to Big Data ecosystems and distributed data processing.

Nice to have Technical Skills:
  • Prior experience with ETL tools like DataStage or Informatica.

Responsibilities:
  • The Data Engineer will play a key role in the developing and maintaining scalable data pipelines and workflows.
  • The engineer will work with GCP tools like Astronomer/Composer and leverage Python for automation and transformation tasks.
  • The role involves integrating data from RDBMS platforms such as DB2 and Teradata, and supporting ETL processes using tools like DataStage or Informatica.
  • The engineer will collaborate with existing team members, including Software Analysts and Scrum Masters, and will be expected to contribute to knowledge sharing and process improvement.
     
Specifically:
  • Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities.
  • Collaborate with cross-functional teams to design and optimize data models in Teradata and DB2 environments.
  • Utilize Python for scripting and automation to streamline geospatial data processing tasks.
  • Integrate and manage data workflows using Cloud Composer to ensure efficient data pipeline operations.
  • Leverage GCP Cloud to deploy scalable applications and services.