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Geospatial Data Engineer Remote Jobs in Texas (NOW HIRING)

dhanutek

Databricks Data Engineer

Plano, TX · Remote

$109K - $131K/yr

Remote Duration: 12+ months with possible extension Required skills: Data Engineer & Databricks, BI Designer, Python, SQL skills Our work is more focused on analysis, problem-solving, and requirement ...

New

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

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

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ...

TEXAS RESEARCH INTERNATIONAL INC

Cloud Data Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

Electric Power Engineers

Lead GIS Engineer

Austin, TX · On-site +1

... geospatial data behind our energy intelligence software and consulting deliverables. This is a ... This position is open to Remote US or Canada Travel : Occasional travel may be needed (10% or less ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

First Citizens Bank

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

First Citizens Bank

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

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Geospatial Data Engineer Remote information

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 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 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 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 Remote jobs in Texas?

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

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

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

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

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

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Databricks Data Engineer

Plano, TX • Remote

dhanutek
IT Services • 1 - 10 employees
Learn more about dhanutekexternal

$109K - $131K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Position Title: Databricks Data Engineer

Location: Remote

Duration: 12+ months with possible extension

Required skills:
Data Engineer & Databricks, BI Designer, Python, SQL skills

Our work is more focused on analysis, problem-solving, and requirement refinement than pure development. We're looking for someone who can bridge the gap between business and data, ask the right questions, and help uncover insights that may not be explicitly documented in the requirements.

We're looking for someone with strong analytical and business understanding skills, not just the ability to execute against documented requirements. Need to be a fast thinker and who can come up with solutions than problems - ask questions. Think outside the box.

The ideal candidate should be able to:

  • Understand the broader business process and how a solution fits into the end-to-end workflow.

  • Identify gaps, inconsistencies, or missing requirements through logical and theoretical analysis.

  • Analyze data and downstream impacts to better understand business needs and validate assumptions.

  • Challenge requirements constructively when the data or process suggests a different perspective.

  • Partner effectively with business stakeholders to refine requirements and drive the right solution.

Nice to have skills:

  • Strong Technical Skills with Snowflake & Databricks with Hands On Experience

  • Understanding of Data Modelling and Data architecture

  • Understanding on AWS

  • Strong SQL Background