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Geospatial Data Engineer Jobs in Texas (NOW HIRING)

Teqdata

Palantir Tech Lead

Houston, TX · On-site

... with geospatial data and analytics (GIS integration with Foundry) · Google Cloud Platform Professional Data Engineer or Professional Cloud Architect certification · Prior experience at a large ...

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 ...

New

Trinity Industries

GenAI Engineer

Dallas, TX · On-site

$120 - $190/hr

... geospatial data, to support analytical and operational use cases * Establish and enforce engineering hygiene around AI work -- prompt evaluation, cost governance (prompt caching, model routing ...

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 ...

BaRupOn LLC

Surveying and Mapping Engineer

Liberty, TX · On-site

$70 - $90/hr

Prepare and maintain site maps, plats, alignments, and geospatial data * Support civil, structural, and utility design with accurate survey inputs * Coordinate survey activities with engineering ...

BaRupOn LLC

Surveying and Mapping Engineer

Liberty, TX

$48K - $70K/yr

Prepare and maintain site maps, plats, alignments, and geospatial data * Support civil, structural, and utility design with accurate survey inputs * Coordinate survey activities with engineering ...

TrinityRail

GenAI Engineer

Dallas, TX · On-site

Process and optimize large-scale datasets, including IoT, telematics, and geospatial data, to support analytical and operational use cases * Establish and enforce engineering hygiene around AI work ...

Trinity Logistics Group

GenAI Engineer

Dallas, TX

Process and optimize large-scale datasets, including IoT, telematics, and geospatial data, to support analytical and operational use cases * Establish and enforce engineering hygiene around AI work ...

Trinity Industries

GenAI Engineer

Dallas, TX · On-site

Process and optimize large-scale datasets, including IoT, telematics, and geospatial data, to support analytical and operational use cases * Establish and enforce engineering hygiene around AI work ...

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Geospatial Data Engineer information

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How much do geospatial data engineer jobs pay per hour?

As of Aug 22, 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 August 2026, with employment types broken down into 8% Internship, 67% Full Time, and 25% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $90,361 per year, or $43.4 per hour.

Palantir Tech Lead

Teqdata

Houston, TX • On-site

Other

Posted 16 days ago

Job description

Experience Minimum 12 years overall IT experience, including 5+ years of hands-on Palantir Foundry experience in development, administration, and/or platform engineering roles

Palantir Foundry — Core Deep hands-on experience with Foundry modules including Workshop, Contour, Quiver, Code Repositories, Transforms, and Ontology. Must be able to design Ontology objects, action types, and Workshop applications from scratch.

Palantir Foundry — Admin Experience with Foundry workspace management, permissions, projects, roles, groups, and data security models. Ability to manage multi-environment (Dev/QA/Prod) promotion workflows and version control.

Data Engineering Strong proficiency in PySpark, SQL, and Python. Experience building and optimizing data pipelines, transforms, and ingestion frameworks within Foundry.

Pipeline Operations Experience debugging failed jobs, workflow orchestration, ingestion framework troubleshooting, and pipeline performance optimization in Foundry.

Utility / Energy Domain Electric or gas utility experience strongly preferred — asset management, grid operations, field operations, outage management, regulatory compliance, or infrastructure planning. Understanding of utility operational workflows that Foundry applications typically support.

Cloud Platforms Knowledge of cloud services supporting Foundry deployments — Google Cloud Platform (preferred) Understanding of how Foundry integrates with cloud-native data services (BigQuery, Cloud Storage, PubSub).

CI/CD & Version Control Proficiency in Git and CI/CD workflows. Ability to automate admin tasks, monitoring, and validations where applicable.

RBAC & Security Understanding of enterprise RBAC models, data classification, and role-based access governance in Foundry.

Data Governance Experience with data governance, metadata management, lineage tracking, and compliance standards. Familiarity with data catalog tools (e.g., Atlan) is a plus.

Delivery Model Proven experience managing onshore-offshore delivery teams. Ability to define work packages, conduct code reviews, and mentor junior developers remotely.

Stakeholder Management Demonstrated ability to work with senior business leaders, IT architects, and cross-functional teams to define product vision, prioritize features, and deliver business value.

Tools ServiceNow, ADO, GitHub, Confluence

Preferred Qualifications

· Palantir Foundry certification or completion of Palantir-led training programs

· Experience standing up Foundry deployments from scratch — including initial Ontology design, workspace architecture, and user onboarding in a greenfield or early-stage environment

· Experience with Kubernetes concepts (depending on Foundry deployment model)

· Familiarity with NVIDIA AI infrastructure and how Foundry integrates with GPU-accelerated workloads

· Experience with geospatial data and analytics (GIS integration with Foundry)

· Google Cloud Platform Professional Data Engineer or Professional Cloud Architect certification

· Prior experience at a large investor-owned electric or gas utility (serving 2M+ customers)

· Experience with Foundry Marketplace apps and pre-built Palantir solutions for energy/utilities vertical

· Understanding of regulatory environments (NERC, PUCT, PHMSA, state PUCs) and how compliance requirements shape data platform design

Apply