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Spatial Data Jobs in Texas (NOW HIRING)

Permian Resources

GIS Platform Analyst

Midland, TX · On-site

The ideal candidate brings deep hands-on experience with Esri's ArcGIS Enterprise platform and spatial data automation tools, a strong understanding of data integration and pipeline development, and ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Implement data storage solutions using relational, spatial, and object-based databases * Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... Normalize and enrich drone datasets with spatial temporal and asset metadata * Enable downstream ...

Arva Intelligence

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Implement data storage solutions using relational, spatial, and object-based databases * Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object ...

Texas A&M AgriLife

Geospatial Analyst

Temple, TX · On-site

The Geospatial Analyst will conduct research on remote sensing and machine learning to develop models that produce spatial data products for large-scale agricultural systems modeling.

New

Diamondbackenergy

Senior GIS Analyst

Dallas, TX

The position sits within theITdepartment but works closely withthe various departments to achieve the spatial data needs of the organization. The Senior GISAnalystis expected to perform a variety of ...

Diamondbackenergy

Senior GIS Analyst

Midland, TX

The position sits within theITdepartment but works closely withthe various departments to achieve the spatial data needs of the organization. The Senior GISAnalystis expected to perform a variety of ...

Data Systems Analysts, Inc.

GIS Analyst

Kingsville, TX · On-site

Creating and managing spatial data from multiple sources * Field data collection using GPS * Integrating GPS data into GIS systems * Bachelor's degree in Geology, Earth Science, GIS, or related field

Southwest Water Company

GIS Analyst

Sugar Land, TX · On-site

This role applies foundational GIS principles to data management, quality control, map production, and user support - helping ensure reliable spatial information is available across operations ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

... for spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation • Expertise in Python for scripting, data processing, and pipeline automation • A results ...

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All JobsSpatial Data JobsSpatial Data Jobs in Texas

Spatial Data information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do spatial data jobs pay per year?

As of Jul 6, 2026, the average yearly pay for spatial data in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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.
What are the most commonly searched types of Spatial Data jobs in Texas? The most popular types of Spatial Data jobs in Texas are:
What are popular job titles related to Spatial Data jobs in Texas? For Spatial Data jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Data jobs in Texas look for? The top searched job categories for Spatial Data jobs in Texas are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in Texas as of June 2026, with employment types broken down into 7% As Needed, 41% Full Time, 9% Part Time, 5% Temporary, 33% Contract, and 5% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Python Developer

Texas State Library and Archives Commision

Irving, TX • On-site

$70/hr

Other

Posted 17 days ago

Job description

Hello,
Good afternoon
Please check below new opportunity - Client - Verizon wireless - VZGTJP00053248
Sr Python Developer
Irving, TX, local only. Onsite role
2-year contract
Max Pay rate- $70/hr on C2C or 55/hr on w2.
MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.

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