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Spatial Data Manager Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX ยท 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 ...

Data Engineer

Houston, TX ยท 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 ...

Drone Data Engineer

Houston, TX ยท 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 ...

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 ...

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 ...

Domain knowledge of the oil and gas industry is preferred along with proficient knowledge of GIS concepts such as spatial data creation and management, data visualization, spatial analysis, FME build ...

Collect, verify, organize, and manage spatial data from a variety of internal and external sources. * Perform basic spatial analysis and data updates using established GIS workflows and methodologies.

Collect, verify, organize, and manage spatial data from a variety of internal and external sources. * Perform basic spatial analysis and data updates using established GIS workflows and methodologies.

Domain knowledge of the oil and gas industry is preferred along with proficient knowledge of GIS concepts such as spatial data creation and management, data visualization, spatial analysis, FME build ...

Collect, verify, organize, and manage spatial data from a variety of internal and external sources. * Perform basic spatial analysis and data updates using established GIS workflows and methodologies.

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Showing results 1-20

Spatial Data Manager information

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 Texas? For Spatial Data Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Data Manager jobs in Texas look for? The top searched job categories for Spatial Data Manager jobs in Texas are:
What cities in Texas are hiring for Spatial Data Manager jobs? Cities in Texas with the most Spatial Data Manager job openings:

$116K - $157K/yr

Other

Posted 27 days ago


Job description

MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.