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Remote Geospatial Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

... remote sensing data), and applying AI and advanced analytics. The incumbent will collaborate ... geospatial research initiatives. * Design and manage application programming interfaces (APIs ...

Bachelor's degree in Agricultural Engineering, Agronomy, Remote Sensing, Geospatial Science, or related field. Four years of experience in agricultural remote sensing and UAV flight operations. Or, a ...

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ...

GIS Analyst

Houston, TX ยท On-site +1

... civil engineering practice, you will analyze and manage geospatial data to support environmental ... and eligibility for hybrid and remote work options for some employees based on role ...

GIS Analyst

Houston, TX ยท On-site +1

... civil engineering practice, you will analyze and manage geospatial data to support environmental ... and eligibility for hybrid and remote work options for some employees based on role ...

... to image, video, text, geospatial, time series, and structured data. * Raising insights ... This position offers a fully remote work environment, or you can work hybrid/on site at our office ...

GIS Analyst

Houston, TX ยท On-site +1

... civil engineering practice, you will analyze and manage geospatial data to support environmental ... and eligibility for hybrid and remote work options for some employees based on role ...

QA Engineer

Austin, TX ยท Remote

... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ... Lead a remote team of testers - delegating work, providing guidance and mentorship, and giving ...

Work with engineering to integrate data capabilities into PastureMap's mobile and web applications ... Familiarity with geospatial data processing * Experience with satellite imagery, remote sensing, or ...

Senior Machine Learning Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

... geospatial, time series, and structured data * Orchestrating and automating complex data ... Opportunities to conduct mission-critical field work This position offers a fully remote work ...

Cartographer

Fort Worth, TX ยท On-site +1

$97K - $126K/yr

Army Corps of Engineers, Fort Worth District, Real Estate Division in Fort Worth, TX. This ... Ensure quality assurance and accuracy of enterprise level geospatial data. * Design and implement ...

Cartographer

Fort Worth, TX ยท On-site +1

$97K - $126K/yr

Army Corps of Engineers, Fort Worth District, Real Estate Division in Fort Worth, TX. This ... Ensure quality assurance and accuracy of enterprise level geospatial data. * Design and implement ...

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Remote Geospatial Engineer information

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including remote geospatial engineers, use AI to automate data analysis, improve accuracy, and handle large datasets more efficiently. While AI enhances GIS capabilities, it is a tool that complements human expertise rather than replacing it, and skills in both areas remain valuable in the field.

Can GIS jobs be remote?

Yes, many GIS jobs, including those for geospatial engineers, can be performed remotely. These roles often require skills in GIS software, data analysis, and remote collaboration tools, making remote work feasible for qualified candidates.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace roles can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What engineers make $300,000 a year?

Senior geospatial engineers with extensive experience, advanced skills in GIS software, programming, and data analysis can earn $300,000 or more annually, especially in high-demand industries like defense, aerospace, or large tech companies. Achieving this level often requires specialized certifications, leadership roles, and working in regions with high salary benchmarks.
What are the most commonly searched types of Geospatial Engineer jobs in Texas? The most popular types of Geospatial Engineer jobs in Texas are:
What are popular job titles related to Remote Geospatial Engineer jobs in Texas? For Remote Geospatial Engineer jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Remote Geospatial Engineer jobs? Cities in Texas with the most Remote Geospatial Engineer job openings:

Data Engineer

Arva Intelligence

Houston, TX โ€ข On-site, Remote

$95K - $130K/yr

Other

Posted 5 days ago


Job description

Job Title:ย ย ย ย ย ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย Data Engineerย 

Department:ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย Modeling & Analytics

Reports to: ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  Lead Modeling Scientist

Location: ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย Remote

Base Salary Range: ย ย ย ย ย ย ย $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