1

Postgis Jobs (NOW HIRING)

Experience with PostgreSQL, PostGIS, SQL * Understanding of GIS and spatial concepts, tools, processes * Understanding of basic relational database concepts * Able to handle multiple tasks in a fast ...

Experience with PostgreSQL, PostGIS, SQL * Understanding of GIS and spatial concepts, tools, processes * Understanding of basic relational database concepts * Able to handle multiple tasks in a fast ...

Use and manage spatial relational databases (Oracle, MSSQL, PostgreSQL/PostGIS) * Deliver geographically-derived assessments, spatial data governance, metadata management, and performance metric ...

... PostGIS, SQL Server, and Oracle • Work with geospatial data formats including vector and raster datasets for enterprise GIS systems • Automate GIS workflows using Python libraries such as GDAL ...

Use and manage spatial relational databases (Oracle, MSSQL, PostgreSQL/PostGIS) * Deliver geographically-derived assessments, spatial data governance, metadata management, and performance metric ...

Hands-on experience with GIS technologies and spatial databases (PostGIS, Oracle Spatial). * Knowledge of web services and APIs for GIS integration. * Strong problem-solving and analytical skills.

Use and manage spatial relational databases (Oracle, MSSQL, PostgreSQL/PostGIS) * Deliver geographically-derived assessments, spatial data governance, metadata management, and performance metric ...

next page

Showing results 1-20

Postgis information

See salary details

$8

$19

$33

How much do postgis jobs pay per hour?

As of May 29, 2026, the average hourly pay for postgis in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PostGIS Specialist, and why are they important?

To thrive as a PostGIS Specialist, you should have a strong background in spatial databases, SQL programming, and geographic information systems (GIS), typically supported by a degree in computer science, geography, or a related field. Familiarity with PostGIS extension for PostgreSQL, spatial SQL queries, and GIS software such as QGIS or ArcGIS is essential, with certifications like GISP or Esri Technical Certification being advantageous. Strong analytical thinking, problem-solving skills, and effective communication make you stand out in this role. These competencies are crucial for efficiently managing geospatial data, developing spatial applications, and supporting data-driven decision-making in organizations.

What are some typical challenges faced by professionals working with PostGIS in a production environment?

Professionals working with PostGIS often encounter challenges such as optimizing spatial queries for performance, managing large volumes of geospatial data, and ensuring data integrity during complex spatial operations. Collaborating closely with database administrators and GIS analysts is common, as is the need to integrate PostGIS with other GIS tools or web mapping services. Staying updated with the latest PostGIS features and best practices can help mitigate these challenges and ensure efficient spatial data processing.

What are PostGIS?

PostGIS is an open-source spatial database extender for the PostgreSQL relational database. It adds support for geographic objects, allowing location queries to be run in SQL. With PostGIS, users can store, query, and analyze spatial and geographic data such as points, lines, and polygons. It is widely used in geographic information systems (GIS) and serves as a powerful platform for developing location-based applications.

What is the difference between Postgis vs Geospatial Analyst?

AspectPostgisGeospatial Analyst
Required CredentialsGIS certifications, SQL, database managementGIS certifications, spatial analysis skills
Work EnvironmentDatabase development, GIS data managementData analysis, mapping, reporting
Employer & Industry UsageTech companies, government agencies, GIS firmsEnvironmental, urban planning, transportation
Common Search & Comparison IntentDatabase skills, spatial data handlingSpatial analysis, mapping tasks

Postgis is a spatial database extender for PostgreSQL, focusing on managing and querying spatial data within databases. A Geospatial Analyst uses GIS tools and spatial data to analyze and interpret geographic information. While Postgis provides the technical foundation for spatial data management, Geospatial Analysts apply these tools for analysis and decision-making.

More about Postgis jobs
What states have the most Postgis jobs? States with the most job openings for Postgis jobs include:
Infographic showing various Postgis job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
Spatial Data Manager

Full-time

Posted 27 days ago


Job description

Company Description

WaterSuite is a cloud based geospatial platform housing a large and growing inventory of spatial data layers of all types and sizes from numerous sources. WaterSuite is a unique and valuable resource for the drinking water community, supporting source water protection and online monitoring efforts, and is in use by many clients, including drinking water utilities, municipalities and states.

Job Description

Spatial Data Manager performs a key role in the operations of WaterSuite by owning and maintaining the spatial data model, overseeing and executing spatial data processes as well as working with other team members to evolve the data model and processes to address emerging needs.

Responsibilities:

  • Owns the spatial data model (conceptual level down to attribute level) and ensures compliance
  • Owns the spatial data processes and ensures timely and orderly execution
  • Spatial data processes include periodic layer updates with change tracking for hundreds of layers
  • Keeps documentation on spatial data model and processes current
  • Curates newly requested spatial data layers
  • Works with team members to extend or modify the spatial data model
  • Works with team members to build new processes or improve existing ones
  • Advises application development team on spatial functionality
  • Responds to ad-hoc spatial data or analysis requests
  • Trains other team members on spatial data model and processes as needed
  • Participates in agile teams, collects/reviews user stories, extracts requirements, creates/curates tickets
  • Prepare/participate/present in company events, workshops, conferences or other venues
Qualifications

Required Skills/Experience:

  • Keen attention to detail
  • Experience working with spatial data at scale
  • Experience working with large databases
  • Experience with PostgreSQL, PostGIS, SQL
  • Understanding of GIS and spatial concepts, tools, processes
  • Understanding of basic relational database concepts
  • Able to handle multiple tasks in a fast-paced environment
  • Excellent verbal, written, and interpersonal communication skills
  • Collaborative problem solver
  • Critical thinking to evaluate alternative solutions

Preferred Skills:

  • Familiarity with drinking water concepts, hydrology, watershed science or similar
  • Degree in computer science, geography, environmental science or relevant field
  • GISP, PMP or other relevant certification
  • Programming skills in python, R, JavaScript or similar
Additional Information

Location: Remote initially then Braintree, MA (at exit 6 off Route 93)

All your information will be kept confidential according to EEO guidelines.

Keywords: PostgreSQL, Postgres, PostGIS, PG Admin, SQL, QGIS, ESRI ArcGIS, geospatial analysis and visualization, geography, cartography, hydrology, map making, emergency response, hazard/risk analysis, watershed, JIRA, Atlassian Confluence, Slack, OpenLayers, python, jupyter notebooks, Azure Data Studio, R, JavaScript, TypeScript, ETL, ogr2ogr, GDAL, Cassandra, Docker, Vue.js, REST API, Tableau, Google Sheets, Excel, Amazon AWS