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Spatial Data Jobs (NOW HIRING)

Schemata

Spatial Computing Engineer

San Francisco, CA · On-site

$140 - $200/hr

Design data pipelines that convert heterogeneous 3D assets (CAD, photogrammetry, LiDAR, simulation output) into unified, queryable scene‑graphs and knowledge graphs. * Integrate multimodal ...

Fervo Energy

GIS Data Administrator

Salt Lake City, UT · On-site

Administer back-end spatial database infrastructure (PostgreSQL/PostGIS or SQL Server Spatial) in coordination with IT. Data Pipelines & Integration * Develop and maintain ETL (extract, transform ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders.

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

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.

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $160/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 ...

JLL

Lab Spatial Data Coordinator

Mountain View, CA · On-site

Capturing the data such as - equipment details, space plans, furniture, finishes, photographs including for Engineering team reference and storage in the labs * Understand and collaborate with the ...

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Spatial Data information

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$44.5K

$129.7K

$177.5K

How much do spatial data jobs pay per year?

As of Sep 4, 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 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.

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 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 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.

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 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Spatial Database Administrator

Agelix Consulting

Lakewood, CO • On-site

Full-time

Re-posted 4 days ago

Job description

Senior Spatial Database Administrator

The Spatial Database Administrator will have senior-level professional knowledge and experience in developing, documenting, implementing, securing, and maintaining geospatial and alphanumeric data models and databases in Relational Database Management Systems (RDBMS) in both on-premises and cloud environments. This will include skills in Structured Query Language (SQL) and database procedural code such as T-SQL. The Spatial Database Administrator will have expertise in managing and administering spatial data in geodatabases and associated editing workflows, including publishing and management of geospatial web service-based editing workflows using ArcGIS Enterprise, PostGRE/GIS, and Geoserver. They will also have experience with database instance management, configuration, and disaster recovery for spatial and alphanumeric data. Experience with or willingness to learn how to leverage cloud data storage, processing, and analytics in Microsoft Azure or Amazon Web Services (AWS) since the technical stack is a hybrid cloud environment.

The Spatial Database Administrator must have at least 4 years’ experience with Enterprise Geodatabases on MS SQL Server and PostGre/GIS, including SQL Instance management and at least 3-years’ experience publishing geospatial web services using ArcGIS Enterprise, ArcGIS Online, and open-source GIS Content Management Platforms.