ZipRecruiter

Log In

1

Spatial Data Science Jobs in Texas (NOW HIRING)

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Work closely with data science teams to operationalize AI models on drone data * Systems Cloud ... Knowledge of GIS tools spatial data formats and mapping systems * Cloud Systems * Experience with ...

Iapetus Holdings

Data Analyst

Fort Worth, TX

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Iapetus Holdings LLC

Data Analyst

Dallas, TX

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

next page

Showing results 1-20

All JobsSpatial Data Science JobsSpatial Data Science Jobs in Texas

Spatial Data Science information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do spatial data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for spatial data science 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 is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, and logistics.

What are popular job titles related to Spatial Data Science jobs in Texas?

For Spatial Data Science jobs in Texas, the most frequently searched job titles are:

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

The top searched job categories for Spatial Data Science jobs in Texas are:

Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Software Engineer with GIS Experience

Cymertek Corporation

San Antonio, TX • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a motivated and skilled Software Engineer with GIS Experience to join their team and contribute to the development of innovative geospatial software solutions. In this role, you will design, implement, and optimize applications that leverage Geographic Information Systems (GIS) technologies to process and analyze spatial data, collaborating with cross-functional teams to build user-friendly interfaces and ensure performance and scalability.
Responsibilities:
• Design and develop GIS software applications
• Integrate geospatial data into applications
• Develop and optimize spatial data algorithms
• Collaborate with teams to define project requirements
• Troubleshoot and resolve GIS application issues
• Ensure GIS software meets performance and scalability requirements
Qualifications:
Required:
• Proficiency in GIS software (e.g., ArcGIS, QGIS)
• Strong knowledge of spatial data formats (e.g., Shapefiles, GeoJSON)
• Experience with geospatial libraries and APIs (e.g., GDAL, OGR)
• Familiarity with spatial databases (e.g., PostGIS, Spatialite)
• Understanding of mapping technologies and geospatial visualization
• Experience with Python or other scripting languages for geospatial analysis
• Bachelor's Degree in Computer Science, Geospatial Information Science, Software Engineering, Geography, Geographic Information Systems, Environmental Science, Applied Mathematics, Geomatics, Civil Engineering, Data Science, etc.
• TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
Preferred:
• Experience with cloud-based GIS platforms
• Familiarity with remote sensing data and analysis
• Knowledge of geospatial data processing techniques (e.g., raster analysis)
• Understanding of geospatial data accuracy and validation
• Proficiency in GIS data modeling and geodatabase design
• Familiarity with GIS mobile applications and development
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply