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Geospatial Data Engineer Remote Jobs in Dallas, TX

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

DataBank's managed data center services are anchored in world-class facilities. Our customized ... The Colocation Engineer will be responsible for engineering functions in support of customer ...

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

Optum Insight is improving the flow of health data and information to create a more connected ... We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI ...

Showing results 41-60

Geospatial Data Engineer Remote information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 14, 2026, the average yearly pay for geospatial data engineer remote in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the most commonly searched types of Geospatial Data Engineer jobs in Dallas, TX?

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

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

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

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

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

What cities near Dallas, TX are hiring for Geospatial Data Engineer Remote jobs?

Cities near Dallas, TX with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Dallas, TX as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

AI Lead Engineer (Remote)

Delan Associates, Inc

Dallas, TX • Remote

$104K - $138K/yr

Full-time

Posted 9 days ago


Job description

AI Lead Engineer

Dallas, TX (REMOTE)

15+ Years


Must-Have Skills

* Artificial Intelligence (AI) & Machine Learning (ML)

* Deep Learning

* Generative AI (GenAI)

* Large Language Models (LLMs)

* Prompt Engineering

* Retrieval-Augmented Generation (RAG)

* Embeddings & Vector Databases

* Fine-tuning LLMs

* Python

* TensorFlow

* PyTorch

* Scikit-learn

* Data Preprocessing & Feature Engineering

* Model Training, Validation & Evaluation

* Statistics & ML Algorithms

* MLOps

* CI/CD Pipelines

* Docker

* Kubernetes

* REST APIs & Microservices

* Cloud Platforms (Azure / AWS / GCP)

* AI Model Deployment & Productionization

* Security, Privacy & Responsible AI

* Problem Solving & Analytical Skills

* Agile/Scrum

Preferred (Good to Have):

* Retail domain experience

* Enterprise Transformation projects

* Model Governance

* Stakeholder Management

* Excellent Communication Skills