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Geospatial Data Engineer Jobs in Houston, TX (NOW HIRING)

GIS/Geospatial Expert

Houston, TX ยท 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 ...

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 ...

Sr. Mapping Designer

Houston, TX ยท On-site

$97K - $104K/yr

Manage and maintain geospatial databases, ensuring data accuracy, integrity, and adherence to company standards. * Collaborate with engineers, project managers, and field personnel to gather ...

Working knowledge of programming and data analysis tools such as Python, MATLAB, or equivalent. * Ability to independently review, validate, and quality-check geospatial data and contractor ...

Working knowledge of programming and data analysis tools such as Python, MATLAB, or equivalent. * Ability to independently review, validate, and quality-check geospatial data and contractor ...

AI Software Engineer

Houston, TX ยท On-site

$115K - $145K/yr

This is a hands-on engineering role for someone who has moved past their first job, ships ... Geospatial - Experience with geospatial data formats, coordinate systems, raster and vector ...

AI Software Engineer

Houston, TX ยท Remote

$115K - $145K/yr

This is a hands-on engineering role for someone who has moved past their first job, ships ... Geospatial - Experience with geospatial data formats, coordinate systems, raster and vector ...

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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 3, 2026, the average hourly pay for geospatial data engineer in Houston, TX is $40.47, according to ZipRecruiter salary data. Most workers in this role earn between $31.11 and $50.05 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 Houston, TX?

The most popular types of Geospatial Data Engineer jobs in Houston, TX are:

What are popular job titles related to Geospatial Data Engineer jobs in Houston, TX?

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

What job categories do people searching Geospatial Data Engineer jobs in Houston, TX look for?

The top searched job categories for Geospatial Data Engineer jobs in Houston, TX are:

Infographic showing various Geospatial Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,171 per year, or $40.5 per hour.

GIS/Geospatial Expert

YO AI Labs

Houston, TX โ€ข Remote

$80 - $100/hr

Full-time

Posted 8 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.