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Geospatial Jobs in Detroit, MI (NOW HIRING)

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

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.

Integrate software systems with autonomous vehicle simulation environments and standards, including perception sensors, vehicle dynamics, geospatial reference systems, and V2X-related messaging, to ...

Stay updated with the latest advancements in geospatial, analytical, and remediation technology and software. * Manage project budgets, cost estimations, and billing processes. * Participate in field ...

Stay updated with the latest advancements in geospatial, analytical, and remediation technology and software. * Manage project budgets, cost estimations, and billing processes. * Participate in field ...

Candidates who integrate climate modeling, Earth surface dynamics modeling, remote sensing, field observations, geochemistry, environmental geophysics, or geospatial analysis techniques to link ...

Education/Experience • Bachelors or associates degree in Construction, Civil Engineering, or Geospatial Engineering. • 1 year of experience in civil engineering, surveying, or equivalent ...

PROJECT SURVEYOR GEOSPATIAL SERVICE LINE POSITION SUMMARY Spicer Group is seeking a licensed Project Surveyor to support our surveying operations. The ideal candidate is a highly motivated ...

Education/Experience • Bachelors or associates degree in Construction, Civil Engineering, or Geospatial Engineering. • 1 year of experience in civil engineering, surveying, or equivalent ...

Showing results 21-40

Geospatial information

See Detroit, MI salary details

$17

$26

$42

How much do geospatial jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for geospatial in Detroit, MI is $26.67, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $31.01 per hour, depending on experience, location, and employer.

What are geospatial jobs?

Geospatial jobs involve working with geographic information systems (GIS), remote sensing, mapping, and spatial data analysis. These professionals collect, analyze, and interpret data related to the Earth’s surface to support decision-making in fields like urban planning, environmental science, transportation, and defense. Typical roles include GIS analysts, cartographers, remote sensing specialists, and geospatial data scientists. Geospatial professionals use specialized software to visualize and analyze data, helping organizations solve complex spatial problems.

What are geospatial jobs?

Geospatial jobs are those where you use GPS and GIS technology to gather information to understand spatial relations between objects and locations on Earth. Geospatial jobs include titles such as geospatial manager, project manager, GIS analyst, GIS specialist, geospatial analysis management specialist, GIS developer, geospatial engineer, and GIS coordinator. The responsibilities of these jobs vary. Your duties may be more project management and supervisory related, more focused on technical design and data analysis, or you may be required to provide technical support and maintenance for GIS and GPS technology.

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

To thrive as a Geospatial Analyst, you need a solid grounding in geography, data analysis, spatial reasoning, and typically a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and spatial databases is essential, and certifications like GISP can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights. These skills enable accurate mapping and analysis, which are critical for informed decision-making in sectors like urban planning, environmental management, and logistics.

What are some common challenges faced by geospatial professionals when integrating data from multiple sources?

Geospatial professionals often encounter challenges when integrating data from various sources, such as inconsistencies in data formats, varying levels of accuracy, and differences in coordinate reference systems. Ensuring data compatibility and maintaining data integrity can be time-consuming, especially when dealing with legacy datasets or unstructured data. Effective communication with stakeholders and strong problem-solving skills are essential for resolving these issues and delivering reliable geospatial analyses.

What is the difference between Geospatial vs GIS Technician?

AspectGeospatialGIS Technician
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, associate or bachelor’s in GIS or related fields
Work EnvironmentFieldwork, data collection, analysis, mapping projectsOffice-based, GIS software operation, data management
Industry UsageUsed across environmental, urban planning, defense, and transportation sectorsPrimarily in urban planning, government agencies, and environmental firms

Both Geospatial and GIS Technician roles involve working with geographic data, but Geospatial is broader, encompassing data collection, analysis, and interpretation across various platforms. GIS Technicians focus more on managing GIS software and data within office environments. Understanding these differences helps in choosing the right career path or job search focus.

Is geospatial a high demand job?

Geospatial jobs are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and defense. Employers seek professionals skilled in GIS software, data analysis, and spatial technology, leading to strong job growth prospects.

What job categories do people searching Geospatial jobs in Detroit, MI look for?

The top searched job categories for Geospatial jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Geospatial jobs?

Cities near Detroit, MI with the most Geospatial job openings:

Infographic showing various Geospatial job openings in Detroit, MI as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,473 per year, or $26.7 per hour.

GCP Data Engineer with Python

Saransh Inc

Dearborn, MI • On-site

$105K - $126K/yr

Contractor

Re-posted 22 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.