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Spatial Data Manager Jobs in Houston, TX (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Integrate heterogeneous datasets, including field data, management data, soil data, and weather ... Implement data storage solutions using relational, spatial, and object-based databases * Support ...

Arva Intelligence

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Integrate heterogeneous datasets, including field data, management data, soil data, and weather ... Implement data storage solutions using relational, spatial, and object-based databases * Support ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Build and manage drone data ingestion pipelines batch nearrealtime * Normalize and enrich drone datasets with spatial temporal and asset metadata * Enable downstream processing for * Computer vision ...

Southwest Water Company

GIS Analyst

Sugar Land, TX · On-site

This role applies foundational GIS principles to data management, quality control, map production, and user support - helping ensure reliable spatial information is available across operations ...

SouthWest Water Company

GIS Analyst

Sugar Land, TX

This role applies foundational GIS principles to data management, quality control, map production, and user support - helping ensure reliable spatial information is available across operations ...

Gulf Interstate

GIS ANALYST II

Houston, TX · On-site

... spatial data analysis, attribution, management · Develop and utilize quality control procedures to ensure data accuracy · Design, write, and maintain GIS workflow documentation · Search for and ...

Gul Interstate

GIS ANALYST II

Houston, TX · On-site

... needed. • Perform spatial data analysis, attribution, management • Develop and utilize quality control procedures to ensure data accuracy • Design, write, and maintain GIS workflow ...

Danos, LLC

Development Analyst

Spring, TX · On-site

Create and manage all Project Change Management requests to ensure development needs are met for the development team. * Maintain all spatial data and inventory within the EM systems. * Perform ...

Danos, LLC

Development Analyst

Spring, TX · On-site

Create and manage all Project Change Management requests to ensure development needs are met for the development team. * Maintain all spatial data and inventory within the EM systems. * Perform ...

Danos, LLC

Development Analyst

Spring, TX · On-site

Create and manage all Project Change Management requests to ensure development needs are met for the development team. * Maintain all spatial data and inventory within the EM systems. * Perform ...

ScoutEPC

LiDAR Scanner

Houston, TX · On-site

$14 - $17.25/hr

This is a dual-role position with a focus on management and development of the company's LiDAR ... high-accuracy 3D spatial data using a laser scanner. The role involves field data collection ...

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All JobsSpatial Data JobsSpatial Data Manager JobsSpatial Data Manager Jobs in Houston, TX

Spatial Data Manager information

See Houston, TX salary details

$29.6K

$92.8K

$164.3K

How much do spatial data manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for spatial data manager in Houston, TX is $92,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Manager, and why are they important?

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges Spatial Data Managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

What are Spatial Data Managers?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.
What are popular job titles related to Spatial Data Manager jobs in Houston, TX? For Spatial Data Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Spatial Data Manager jobs in Houston, TX look for? The top searched job categories for Spatial Data Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Spatial Data Manager jobs? Cities near Houston, TX with the most Spatial Data Manager job openings:
Spatial Data Manager jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 27 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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