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Geospatial Software Engineer Jobs in Texas (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Apply software engineering best practices including testing, version control, and documentation ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Apply software engineering best practices including testing, version control, and documentation ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

You will work alongside data scientists, software engineers, and DevOps engineers to transform ... geospatial, time series, and structured data * Orchestrating and automating complex data ...

Cambridge Systematics

Transportation Analyst

Austin, TX · On-site

$80K - $95K/yr

Experience with ArcGIS and/or other geospatial software * Excellent written and verbal communication skills Preferred Qualifications * Programming interest or experience (e.g. R) Cambridge ...

Harris

DataVoice, a division of Harris; is seeking a GIS Developer who will be a vital contributor to industry-leading utility software solutions. Your primary focus will be on enhancing the geospatial ...

Harris

DataVoice, a division of Harris; is seeking a GIS Developer who will be a vital contributor to industry-leading utility software solutions. Your primary focus will be on enhancing the geospatial ...

TSMG

UAS Drone Pilot

Houston, TX

Strong knowledge of geospatial software (e.g., ArcGIS, QGIS, Pix4D, Agisoft) and drone flight ... A degree or diploma in Unmanned Aerial Systems (UAS), Aviation, Geomatics, Engineering, or a ...

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Geospatial Software Engineer information

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How much do geospatial software engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for geospatial software engineer in Texas is $33.52, according to ZipRecruiter salary data. Most workers in this role earn between $33.08 and $33.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Geospatial Software Engineer position, and why are they important?

To thrive as a Geospatial Software Engineer, you need strong programming skills (such as Python, Java, or C++), knowledge of GIS principles, spatial databases, and a degree in computer science, geography, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and relevant certifications (e.g., Esri Technical Certification) are highly valued. Problem-solving ability, attention to detail, and effective communication are crucial soft skills in this role. These qualifications ensure accurate spatial analysis, efficient development of geospatial applications, and successful collaboration with multidisciplinary teams.

What does a Geospatial Software Engineer do?

A Geospatial Software Engineer develops, maintains, and optimizes software that processes and analyzes geographic data. They work with GIS (Geographic Information Systems), mapping technologies, and spatial databases to build applications for industries like urban planning, environmental science, and logistics. Their role often involves programming, data visualization, and integrating geospatial tools with cloud or web-based platforms. They typically use languages like Python, JavaScript, or C++ and frameworks such as GDAL, PostGIS, or Mapbox.

What are the typical projects or tasks Geospatial Software Engineers work on?

Geospatial Software Engineers commonly work on projects such as developing mapping applications, processing and visualizing spatial data, building location-based services, and integrating geographic data into larger software platforms. Daily tasks may include writing code for spatial data analysis, optimizing database queries, collaborating with GIS analysts and data scientists, and maintaining or improving geospatial data pipelines. Engineers often work in multidisciplinary teams and are involved in both the design and implementation phases of projects. This diverse work helps them gain experience across a wide range of industries, such as urban planning, environmental science, transportation, and defense, offering strong opportunities for career growth.

What are popular job titles related to Geospatial Software Engineer jobs in Texas? For Geospatial Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Geospatial Software Engineer jobs in Texas look for? The top searched job categories for Geospatial Software Engineer jobs in Texas are:
What cities in Texas are hiring for Geospatial Software Engineer jobs? Cities in Texas with the most Geospatial Software Engineer job openings:
Geospatial Software Engineer jobs near you
Infographic showing various Geospatial Software Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,714 per year, or $33.5 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site

$95K - $130K/yr

Full-time

Posted 24 days ago

Job description

Job Title: Data Engineer
Department: Modeling & Analytics
Reports to: Lead Modeling Scientist
Location: Remote
Base Salary Range: $95k - $130k
General Position Description
The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.
In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.
Primary Job Responsibilities
Data Pipeline and Workflow Development
  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems
  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability
  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration
  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements
  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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