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Spatial Data Jobs (NOW HIRING)

Doist

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $190/hr

This role leads complex spatial analytics efforts, mentors less-experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights.

New

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

If you thrive at the intersection of robotics, spatial perception, and high-precision AI data, join us in building the ground-truth foundation for next-generation Vision-Language-Action (VLA) models.

PepsiCo

Digital Product Sr Manager - Spatial Twin

Plano, TX · On-site

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define standards for spatial data models, 3D assets, metadata, and GIS integration. * Support integration with Teamcenter, Omniverse, Mendix, GIS platforms, and enterprise systems. User Experience ...

PepsiCo

Digital Product Sr Manager - Spatial Twin

Plano, TX

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define standards for spatial data models, 3D assets, metadata, and GIS integration. * Support integration with Teamcenter, Omniverse, Mendix, GIS platforms, and enterprise systems. User Experience ...

PepsiCo

Digital Product Sr Manager - Spatial Twin

Plano, TX · On-site

$140K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define standards for spatial data models, 3D assets, metadata, and GIS integration. * Support integration with Teamcenter, Omniverse, Mendix, GIS platforms, and enterprise systems. User Experience ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

... spatial data, including video, images, LiDAR, radar, and machine sensor information. - Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, equipment) in both 2D and 3D ...

Kforce Technology Staffing

Senior Data Scientist

Juno Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Developing and overseeing spatial data pipelines, APIs, and automation workflows * Integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services REQUIREMENTS: * Advanced ...

New

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and ... spatial and temporal mapping. - Decompose mining workflows into structured task sequences, labeling ...

CAPPS

RRC - Programmer V

Austin, TX · On-site

$7.7K - $8.2K/mo

  • Medical

  • Retirement

  • PTO

Spatial Data Integrations: Digitize and maintain spatial databases of relevant information; document procedures (SOPs); support documentation of interfaces (Interface Control DocumentsICDs); validate ...

Vibrant Planet

Spatial Wildfire Analyst

  • Medical

  • Retirement

  • PTO

The cultivation of data and application of science into strategic frameworks that enable tradeoff ... Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial ...

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Showing results 21-40

All JobsSpatial Data Jobs

Spatial Data information

See salary details

$44.5K

$129.7K

$177.5K

How much do spatial data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for spatial data in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
More about Spatial Data jobs

What cities are hiring for Spatial Data jobs?

Cities with the most Spatial Data job openings:

What are the most commonly searched types of Spatial Data jobs?

The most popular types of Spatial Data jobs are:

What states have the most Spatial Data jobs?

States with the most job openings for Spatial Data jobs include:

What job categories do people searching Spatial Data jobs look for?

The top searched job categories for Spatial Data jobs are:

Spatial Data jobs near you
Infographic showing various Spatial Data job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Data Scientist

Delan Associates, Inc

Juno Beach, FL

Contractor

Posted 4 days ago

Job description

Job Description:

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors lessexperienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and handson experience with spatial analytics at scale

Responsibilities:

  • This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.
  • Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.
  • Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.
  • Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.
  • Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.

Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.

Employment Type: CONTRACTOR

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