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Geospatial Jobs in O Fallon, IL (NOW HIRING)

Tulk LLC

Geospatial Analysis SME Senior

Saint Louis, MO · On-site

$120K - $153K/yr

Geospatial Analysis SME Senior TULK is a boutique strategic technology and management consulting firm supporting U.S. Federal Government, Defense, Intelligence Community, and National Security ...

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Showing results 21-40

All JobsGeospatial JobsGeospatial Jobs in O'Fallon, IL

Geospatial information

See O Fallon, IL salary details

$17

$27

$43

How much do geospatial jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for geospatial in O'Fallon, IL is $27.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $31.63 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.
More about Geospatial jobs

What are the most commonly searched types of Geospatial jobs in O'Fallon, IL?

The most popular types of Geospatial jobs in O'Fallon, IL are:

What are popular job titles related to Geospatial jobs in O'Fallon, IL?

For Geospatial jobs in O'Fallon, IL, the most frequently searched job titles are:

What job categories do people searching Geospatial jobs in O'Fallon, IL look for?

The top searched job categories for Geospatial jobs in O'Fallon, IL are:

Geospatial jobs near you
Infographic showing various Geospatial job openings in O'Fallon, IL as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $56,553 per year, or $27.2 per hour.

Senior Geospatial Data Engineer

Saint Louis, MO • Remote

Object Computing, Inc.
IT Services • 51 - 200 employees
Learn more about Object Computing, Inc.external

$108K - $147K/yr

Full-time

Re-posted 25 days ago

Job description

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.
What you will do:
  • Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.
  • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
  • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.
  • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.
  • Translate complex analytics and business questions into actionable, production-grade data solutions.
  • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.
  • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Mentor and provide technical guidance to junior data engineers and team members.
  • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.
  • Proactively recommend and implement improvements to existing data infrastructure and software programs.
  • Stay current with industry trends and emerging technologies in geospatial data engineering.
What you will bring:
  • An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes.
  • Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.
  • Experience building solutions with Python.
  • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.
  • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).
  • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.
  • Experience integrating with API-driven, service-to-service web services.
  • Demonstrated ability to lead projects, mentor team members, and drive technical decisions.
  • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
  • Excellent organizational, interpersonal, and communication skills.
What will make you stand out:
  • Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).
  • Experience deploying and scaling machine learning (ML) models/algorithms in production.
  • Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
  • Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.
  • Experience working with LiDAR data and deriving real-world insights from point clouds.
  • Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.
  • Experience with data streaming, real-time data processing, or cloud-native geospatial solutions.
  • Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).
  • Experience with OAuth, authentication, and API key management for secure service-to-service communication.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.