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Contract Geospatial Engineer Jobs in Michigan (NOW HIRING)

GCP Data Engineer with Python

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ... Utilize Python for scripting and automation to streamline geospatial data processing tasks.

Contract Geospatial Engineer information

What are the key skills and qualifications needed to thrive as a Contract Geospatial Engineer, and why are they important?

To thrive as a Contract Geospatial Engineer, you need a solid background in geography, GIS principles, spatial analysis, and a relevant degree in geospatial sciences or engineering. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or SQL is typically required. Strong problem-solving, attention to detail, and effective communication skills help you deliver accurate results and collaborate with clients or multidisciplinary teams. These competencies ensure precise geospatial data analysis and project delivery within diverse and dynamic contract environments.

How does a Contract Geospatial Engineer typically collaborate with other team members during a project?

As a Contract Geospatial Engineer, you’ll often work closely with project managers, GIS analysts, surveyors, and software developers to deliver spatial data solutions. Collaboration usually involves participating in project meetings, sharing data and findings, and integrating your geospatial analyses into larger project workflows. Effective communication and documentation are key, as you may need to coordinate remotely or on flexible schedules. You’ll also provide technical guidance and support to ensure that geospatial data is accurate and meets project requirements.

What are Contract Geospatial Engineers?

Contract Geospatial Engineers are professionals who work on a temporary or project basis to collect, analyze, and interpret geographic data using specialized software and tools. They often support industries such as environmental management, urban planning, construction, and defense by creating maps, models, and spatial analyses. Their contract status means they are usually hired for specific projects or periods, rather than being permanent employees. This allows companies to access specialized geospatial expertise when needed while maintaining flexibility in staffing.
What are the most commonly searched types of Geospatial Engineer jobs in Michigan? The most popular types of Geospatial Engineer jobs in Michigan are:
What are popular job titles related to Contract Geospatial Engineer jobs in Michigan? For Contract Geospatial Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Geospatial Engineer jobs in Michigan look for? The top searched job categories for Contract Geospatial Engineer jobs in Michigan are:
What cities in Michigan are hiring for Contract Geospatial Engineer jobs? Cities in Michigan with the most Contract Geospatial Engineer job openings:
Infographic showing various Contract Geospatial Engineer job openings in Michigan as of May 2026, with employment types broken down into 69% Full Time, 6% Part Time, 2% Temporary, 22% Contract, and 1% Nights. Highlights an 83% Physical, and 17% Remote job distribution.

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.