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Geospatial Data Engineer Remote Jobs in Kyle, TX

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Victory

Senior Network Engineer (Remote)

Austin, TX · Remote

$106K - $145K/yr

The Senior Network Engineer is responsible for executing data center network assessments and will help define additional product offerings in the future. This includes project planning and designing ...

Rubrik Job Board

Inside Sales Engineer (Remote)

Austin, TX · On-site +1

$59K - $74K/yr

As an Inside Sales Engineer, you will receive on the job training with our Field and Sales ... data management platform for a mix of mid-market and small business customers throughout your ...

New

Rubrik Job Board

Inside Sales Engineer (Remote)

Austin, TX · On-site +1

$59K - $74K/yr

As an Inside Sales Engineer, you will receive on the job training with our Field and Sales ... The successful candidate must have a fundamental breadth of technical knowledge in cloud data ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Kyle, TX

Geospatial Data Engineer Remote information

See Kyle, TX salary details

$42.7K

$124.5K

$170.3K

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 Kyle, TX is $124,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 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 popular job titles related to Geospatial Data Engineer Remote jobs in Kyle, TX?

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

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

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

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Geospatial Data Engineer Remote jobs near you

Big Data Engineer | Austin, TX (Remote) | 5+ Months

Doyensys

Austin, TX • Remote

Contractor

Re-posted 15 days ago

Job description

Job Title: Big Data Engineer
Location: Location: Austin, Texas(Remote )
Duration: 5 Months with possible extension
Years of exp :9+
 
 
Required Skills:
 
Design and develop Extraction, Transformation, Load (ETL) processes for enterprise data warehouse using Informatica; Deep hands-on expertise with Informatica ETL processes, development, data management, data profiling, data flows, data relationships, and data quality standards and processes
Hands-on experience with data warehouse development and testing (relational and dimensional) and proven evidence to implement using databases like Oracle, SQL Server etc. but preferably Oracle
Experience in Data Science
Hands on experience with data modeling preferably in a data warehouse environment
Experience with Informatica product suite in the Informatica cloud
Experience devising and utilizing algorithms and models to mine data; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Experience with detecting and providing solutions to addressing mismatched data in case management systems.
 
 
Preferred Skills:
 
More than one type of RDBMS (DB2, SQL Server, Oracle)
Erwin or other equivalent data modeling tools
Experience in Amazon Web Services
Experience with detecting and providing solutions to addressing mismatched data in case management systems