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Geospatial Data Engineer Jobs in Texas (NOW HIRING)

YO AI Labs

GIS/Geospatial Expert

Dallas, TX · Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ... Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other ...

YO AI Labs

GIS/Geospatial Expert

Austin, TX · Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ... Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other ...

JLL

Senior GIS Engineer

Dallas, TX · On-site

$103K - $142K/yr

This role works across JLL's geospatial and enterprise data platforms on problems such as geocoding ... Coach less experienced engineers and deliver knowledge-sharing sessions * Use storytelling to ...

Bwpmlp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

This role will work closely with data engineers, business stakeholders, and digital leadership to ... Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and ...

bwp

Lead / Sr Analyst Data Scientist

Houston, TX · On-site

This role will work closely with data engineers, business stakeholders, and digital leadership to ... Apply geospatial and sensor data analytics to support pipeline monitoring, flow optimization, and ...

Lumen Solutions Group Inc.

ArcGIS Architect

Austin, TX · On-site

$62.50 - $82.25/hr

... Geospatial Architect and Development Lead to drive data analytics projects involving healthcare ... developers, providing best practices for spatial analysis, web mapping, and data visualization ...

Electric Power Engineers

Lead GIS Engineer

Austin, TX · On-site +1

EPE's GIS team is looking for a Lead GIS Engineer to serve as the senior technical voice on the team that builds the geospatial data behind our energy intelligence software and consulting ...

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Geospatial Data Engineer information

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How much do geospatial data engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for geospatial data engineer in Texas is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $33.37 and $53.75 per hour, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are the key skills and qualifications needed to thrive as a geospatial data engineer?

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What are some common challenges faced by geospatial data engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

What are the most commonly searched types of Geospatial Data Engineer jobs in Texas?

The most popular types of Geospatial Data Engineer jobs in Texas are:

What are popular job titles related to Geospatial Data Engineer jobs in Texas?

For Geospatial Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer jobs in Texas look for?

The top searched job categories for Geospatial Data Engineer jobs in Texas are:

What cities in Texas are hiring for Geospatial Data Engineer jobs?

Cities in Texas with the most Geospatial Data Engineer job openings:

Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in Texas as of September 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $90,361 per year, or $43.4 per hour.

GIS/Geospatial Expert

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 19 days ago

Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.