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Weekend Python Jobs in Michigan (NOW HIRING)

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/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 -Senior Manager

Detroit, MI

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

Infosys Limited

Azure Databricks Engineer

Ann Arbor, MI · On-site

$90 - $120/hr

  • Medical

  • Retirement

Hands‑on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) * Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git ...

P2PSoftTek Inc

AWS Support Engineer

Detroit, MI · On-site

Python Location: Detroit, MI / Charlotte, NC Contract - W2 Only Key Responsibilities - Monitor and ... weekends, and public holidays - Maintain runbooks and operational documentation - Support change ...

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Weekend Python information

See Michigan salary details

$11

$51

$75

How much do weekend python jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for weekend python in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What is a Weekend Python?

A Weekend Python job is a role that involves working with Python programming primarily on weekends. These positions are often part-time, freelance, or contract-based and may include tasks such as scripting, automation, data analysis, or web development. They are ideal for students, professionals seeking extra income, or those looking to gain more experience with Python while maintaining a weekday job. Companies may hire Weekend Python developers to handle specific tasks, maintain systems, or support ongoing projects outside regular business hours.

What kind of projects and tasks can a Weekend Python developer expect to work on?

As a Weekend Python Developer, you may be responsible for tasks such as developing and maintaining backend systems, building APIs, automating scripts, or supporting ongoing projects that require weekend coverage. You might also assist in bug fixes, code reviews, database management, or integrating third-party services, depending on your team's priorities. This role often involves remote work and close collaboration with developers, project managers, or DevOps engineers to ensure project milestones are met. Projects can range from web applications and data processing pipelines to automation tools, providing opportunities to build valuable real-world experience and demonstrate reliability in flexible work environments.

What are the key skills and qualifications needed to thrive in the Weekend Python position, and why are they important?

To thrive as a Weekend Python Developer, you need strong proficiency in Python programming, software development principles, and experience with version control systems, typically demonstrated through a relevant degree or coding portfolio. Familiarity with web frameworks (like Django or Flask), databases, and cloud platforms such as AWS or Azure is often required, and certifications in Python or cloud technologies can be advantageous. Excellent time management, problem-solving abilities, and strong communication skills allow effective remote collaboration and independent work over weekends. These competencies enable Weekend Python Developers to efficiently contribute to projects, meet deadlines, and integrate seamlessly with teams despite non-traditional working hours.

What are the most commonly searched types of Python jobs in Michigan?

The most popular types of Python jobs in Michigan are:

What are popular job titles related to Weekend Python jobs in Michigan?

For Weekend Python jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Weekend Python jobs in Michigan look for?

The top searched job categories for Weekend Python jobs in Michigan are:

What cities in Michigan are hiring for Weekend Python jobs?

Cities in Michigan with the most Weekend Python job openings:

Weekend Python jobs near you
Infographic showing various Weekend Python job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,276 per year, or $51.1 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Re-posted 19 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.