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Geospatial Data Engineer Remote Jobs in Springfield, MO

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Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop ... Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ...

All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Springfield, MO

Geospatial Data Engineer Remote information

See Springfield, MO salary details

$40.5K

$118K

$161.5K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 29, 2026, the average yearly pay for geospatial data engineer remote in Springfield, MO is $117,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What job categories do people searching Geospatial Data Engineer Remote jobs in Springfield, MO look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Geospatial Data Engineer Remote jobs?

Cities near Springfield, MO with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Springfield, MO as of August 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,994 per year, or $56.7 per hour.

GIS Analyst - LiDAR and Remote Sensing

TOTH AND ASSOCIATES INC

Springfield, MO • Remote

$32 - $42/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

TOTH is seeking a GIS Analyst with experience in LiDAR, point cloud processing, and geospatial data production to join our GIS team. This position will play a key role in processing, analyzing, and validating LiDAR and aerial data used to support engineering, surveying, utility, and infrastructure projects.

This role requires hands-on experience working with LiDAR data and a strong understanding of accuracy, consistency, and quality control. The position will work with complex geospatial datasets to identify potential issues and produce reliable products for use by engineers, surveyors, GIS professionals, and other project teams.

While LiDAR and aerial data processing will be a primary focus, this position will also support broader GIS initiatives, including mapping, data management, utility GIS, automation, and spatial analysis.

Essential Duties and Responsibilities:

LiDAR, Point Cloud & Remote Sensing

  • Process and analyze UAV and other LiDAR datasets from raw data through final deliverables.
  • Perform point cloud classification, refinement, and quality control.
  • Evaluate LiDAR accuracy using ground control, checkpoints, and established accuracy standards.
  • Identify and troubleshoot alignment, positioning, classification, coordinate system, and other data quality issues.
  • Generate geospatial products including classified LAS/LAZ, terrain and surface models, contours, breaklines, planimetric mapping derived from LiDAR and imagery, orthomosaics, 3D models, profiles, cross-sections, and other project-specific deliverables.
  • Extract features and measurements from LiDAR and imagery for engineering, surveying, utility, and infrastructure applications.
  • Work with aerial imagery, photogrammetry, thermal imagery, and other remotely sensed datasets as project needs require.
  • Apply appropriate coordinate systems, projections, datums, and transformations to geospatial datasets.
  • Perform quality control and validation to ensure deliverables meet project requirements and applicable accuracy standards.
  • Help develop efficient, repeatable workflows and technical standards as our LiDAR and remote sensing capabilities continue to grow.
  • Evaluate new software, technologies, and processing methods that can improve quality, efficiency, or the services we provide.

GIS & Geospatial Support

  • Produce maps, exhibits, spatial analyses, and geospatial datasets supporting engineering, surveying, utility, and infrastructure projects.
  • Support GIS data conversion, migration, schema development, and quality control.
  • Develop and maintain GIS datasets, web maps, feature services, and field data collection solutions.
  • Assist with utility GIS and asset inventory projects involving electric, fiber, and other infrastructure.
  • Automate repetitive GIS and data processing tasks using Python, ArcPy, ModelBuilder, or similar tools.
  • Collaborate with GIS professionals, engineers, surveyors, field personnel, and project managers to solve geospatial problems and develop effective project solutions.
  • Bachelor's degree in a geospatial-related field, or equivalent professional experience.
  • Professional experience processing and analyzing LiDAR or point cloud data.
  • Experience with point cloud processing software such as DJI Terra, LP360, TerraSolid, Global Mapper Pro, CloudCompare, or comparable platforms.
  • Working knowledge of ArcGIS Pro and geospatial data processing.
  • Strong understanding of coordinate systems, projections, datums, and geospatial transformations.
  • Understanding of GNSS, ground control, checkpoints, and positional accuracy concepts.
  • Ability to evaluate geospatial data for accuracy and identify potential quality issues.
  • Strong attention to detail and commitment to producing accurate, reliable deliverables.
  • Ability to manage multiple datasets and project priorities while communicating technical issues clearly.

Preferred Qualifications:

  • UAV-based LiDAR acquisition and processing.
  • DJI Zenmuse L1/L2 and DJI Terra.
  • Other UAV LiDAR platforms such as ROCK Robotic, YellowScan, Phoenix LiDAR, or similar systems.
  • Point cloud classification and automated feature extraction.
  • Planimetric mapping and topographic data production.
  • Photogrammetry and orthomosaic production.
  • Electric utility, transmission, distribution, fiber, or other infrastructure projects.
  • LiDAR data supporting PLS-CADD, PLS-POLE, CAD, or engineering design workflows.
  • Utility GIS platforms such as NISC, Milsoft, Futura, or Vetro.
  • Python, ArcPy, ModelBuilder, or other geospatial automation tools.
  • ArcGIS Enterprise, ArcGIS Online, Field Maps, or Survey123.
  • Surveying, geomatics, or survey-supporting geospatial workflows.

Ideal Candidate:

The ideal candidate is technically strong, detail-oriented, and takes ownership of the quality of their work. They can work independently through complex geospatial datasets, identify inconsistencies or potential quality issues, and investigate their cause to ensure accurate and reliable results.

We are looking for someone who enjoys technical problem solving, is interested in advancing LiDAR and geospatial technology, and can help us continue improving how we process, analyze, and deliver geospatial data.

Benefits:

  • Paid Time Off (PTO)
  • Eight paid holidays
  • Company-paid medical and dental coverage with buy-up options
  • 401(k) w/company matching and profit sharing
  • Discretionary bonuses
  • Paid Bonding Leave
  • Vision
  • Company-paid life insurance and long-term disability insurance
  • Supplemental life insurance available
  • Short-term disability available
  • FSA and HSA options
  • Education assistance

Company Overview:
Toth and Associates, Inc. (TOTH) is a full-service consulting engineering firm offering a broad range of services, including electric utility engineering, structural engineering, civil engineering, land services, GIS/mapping, utility rate services, and joint-use/make-ready support. Since our founding in 2003, we have grown to serve public and private utilities, municipalities, architects, developers, educational institutions, and other clients across the country.

At TOTH, we believe strong relationships are the foundation of successful work. Our team is built on professional expertise, collaboration, and a commitment to serving both our clients and one another well. We value people, encourage continued growth, and strive to provide a workplace where employees can build meaningful, rewarding careers.

TOTH offers competitive compensation, a comprehensive benefits package, professional development opportunities, and a supportive work environment. Visitwww.tothassociates.comto learn more about our company.

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