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Spatial Data Analyst Jobs in Texas (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Data Engineer Department : Modeling & Analytics Reports to : Lead Modeling Scientist Location ... Implement data storage solutions using relational, spatial, and object-based databases * Support ...

Dudley Land Company

GIS Analyst Temp

Dallas, TX

Spatial analysis outputs and supporting data What We're Looking For * Hands-on experience with GIS software platforms such as ArcGIS Pro and related GIS tools * Experience managing spatial data and ...

Dudley Land Company

GIS Analyst Temp

Dallas, TX · On-site

Spatial analysis outputs and supporting data What We're Looking For * Hands-on experience with GIS software platforms such as ArcGIS Pro and related GIS tools * Experience managing spatial data and ...

Tetra Tech

GIS Analyst

Houston, TX · On-site

Gather, analyze, integrate, and maintain spatial data from field observations, GPS, aerial photography, satellite imagery, existing maps, operational databases, and public data sources. * Develop ...

Enbridge

Advisor GIS Lands & ROW

Houston, TX

You will employ GIS technologies, spatial analysis, and data automation tools to develop high-quality mapping solutions. Your work will support business partners and help guarantee the reliability of ...

GDH

Quorum Land Analyst II

Houston, TX · On-site

$46 - $47/hr

Role Summary This contract Land Analyst position involves managing and verifying land-related ... Reporting to the Land Manager, the role encompasses data entry, document verification, and spatial ...

City of Houston

GIS ANALYST

Houston, TX · On-site

Geocodes data files; enters, corrects and modifies data. Specific Responsibilities: Design and produce high-quality maps, reports, and spatial analyses using ArcGIS Pro, ensuring consistency with ...

Wilks

Planning and Development Coordinator

Fort Worth, TX · On-site

$41K - $56K/yr

GIS & Spatial Analysis: Use GIS mapping and spatial data analysis to support site selection, feasibility, planning, and decision-making, including topography, ownership, parcel data, utilities ...

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All JobsSpatial Data Analyst JobsSpatial Data Analyst Jobs in Texas

Spatial Data Analyst information

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$31.7K

$77K

$126.7K

How much do spatial data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for spatial data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a spatial data analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What does a spatial data analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

Is a spatial data analyst in demand?

Yes, spatial data analysts are in demand due to the increasing use of geographic information systems (GIS) across industries such as urban planning, transportation, and environmental management. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.

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

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.
What are the most commonly searched types of Spatial Data Analyst jobs in Texas? The most popular types of Spatial Data Analyst jobs in Texas are:
What are popular job titles related to Spatial Data Analyst jobs in Texas? For Spatial Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Data Analyst jobs in Texas look for? The top searched job categories for Spatial Data Analyst jobs in Texas are:
What cities in Texas are hiring for Spatial Data Analyst jobs? Cities in Texas with the most Spatial Data Analyst job openings:
Spatial Data Analyst jobs near you
Infographic showing various Spatial Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Re-posted 22 days ago

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • 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 storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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