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Gs Engineering Jobs in Michigan (NOW HIRING)

GCP Data Engineer with Python

Dearborn, MI ยท On-site

$105K - $126K/yr

... 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 ...

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Gs Engineering information

See Michigan salary details

$11

$27

$50

How much do gs engineering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for gs engineering in Michigan is $27.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $33.12 per hour, depending on experience, location, and employer.

What is GS Engineering?

GS Engineering typically refers to engineering roles at GS Engineering & Construction, a major South Korean company known for its work in civil engineering, construction, plant engineering, and infrastructure projects. Engineers at GS Engineering may work on large-scale projects such as bridges, highways, power plants, and industrial facilities. These roles often involve project management, design, planning, and site supervision. GS Engineering is recognized for its commitment to innovation, safety, and sustainability in the construction and engineering sectors.

What are some common challenges faced by engineers at GS Engineering and how can new team members effectively navigate them?

Engineers at GS Engineering often work on complex, multidisciplinary projects that require strong collaboration across teams, tight deadlines, and adherence to rigorous safety and quality standards. New team members may initially find it challenging to familiarize themselves with proprietary processes and integrate with established project teams. Proactively seeking mentorship, participating in cross-functional meetings, and utilizing internal knowledge-sharing resources can help new engineers quickly adapt and contribute effectively. Open communication and a willingness to ask questions are especially valued and will ease the transition into the team.

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

To thrive as a GS (General Schedule) Engineer, you need a strong background in engineering principles, problem-solving, and a relevant degree (such as in civil, mechanical, or electrical engineering) along with applicable licensure like a Professional Engineer (PE) certification. Familiarity with technical tools such as AutoCAD, project management software, and federal systems like the Defense Travel System (DTS) is often required. Strong analytical thinking, teamwork, and effective communication are crucial soft skills in this role. These competencies ensure engineering projects meet federal standards, are delivered efficiently, and support the mission of government agencies.

What is the difference between Gs Engineering vs Mechanical Engineering?

AspectGs EngineeringMechanical Engineering
Required CredentialsTypically requires a diploma or associate degree in engineering or related fieldBachelor's degree in Mechanical Engineering or related field
Work EnvironmentFieldwork, site inspections, and technical support rolesDesign, analysis, manufacturing, and research labs
Employer & Industry UsageConstruction, manufacturing, and engineering service companiesAutomotive, aerospace, energy, and manufacturing industries

Gs Engineering generally involves technical support, site supervision, and fieldwork, often requiring diplomas or associate degrees. Mechanical Engineering is more focused on design, analysis, and development, requiring a bachelor's degree. Both roles are integral to engineering projects but differ in scope, responsibilities, and educational requirements.

What are popular job titles related to Gs Engineering jobs in Michigan?

For Gs Engineering jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Gs Engineering job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,198 per year, or $27.5 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI โ€ข 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.