GIS Data Engineer

ZipRecruiter; Irving (TX); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading data solutions company is seeking a GIS Data Engineer to build and manage geospatial data pipelines. This remote role involves creating dynamic maps and developing APIs to deliver critical geospatial insights. Ideal candidates will have strong Python skills, experience with spatial databases like PostGIS, and familiarity with various mapping platforms. Join a creative team focused on innovation and work-life balance.

Qualifications

• Proficient with spatial databases such as PostGIS and SQL.
• Strong skills in Python for GIS data processing and automation.
• Hands-on experience with mapping platforms including ArcGIS and QGIS.

Responsibilities

• Build and maintain GIS data pipelines to integrate spatial datasets.
• Collaborate with cross-functional teams to provide location-based insights.
• Research and implement new geospatial technologies and best practices.

Skills

Proficiency with spatial databases such as PostGIS and SQL

Strong skills in Python for GIS data processing and automation

Hands-on experience with mapping platforms (ArcGIS, QGIS, Mapbox)

Knowledge of web mapping standards including GeoJSON, WMS, and WFS

Ability to design, optimize, and maintain geospatial workflows and pipelines

Familiarity with deploying geospatial solutions for applications

Education

Bachelor’s degree in GIS, Computer Science, Geography, or a related field

Tools

PostGIS

ArcGIS

QGIS

Mapbox

Google Maps API

Job description

Overview

Job DescriptionJob DescriptionDescription:

Come work for a company who thinks outside the box... that’s where you’ll find us! Beyond walls, windows, boxes and the norm. Come be a part of a team where WE ARE IN IT TO WIN IT. A team that fosters and encourages creativity, resourcefulness, promoting from within, and a work-life balance. #IITFWI

Position is Remote, Monday - Friday

Job Purpose

The GIS Data Engineer is responsible for building and managing geospatial data pipelines, APIs, and feature services that support GSM Outdoors’ internal and customer-facing mapping solutions. They will focus on creating dynamic maps, feature-rich layers, and location-based insights that drive smarter retail planning, marketing campaigns, and product innovation. The GIS Data Engineer will ensure geospatial data is accurate, scalable, and efficiently integrated across platforms while optimizing performance and usability.

Responsibilities

• Build and maintain GIS data pipelines to integrate spatial datasets.
• Manage and optimize spatial databases and feature services (PostGIS, ArcGIS, Mapbox, etc.).
• Develop and deploy APIs to deliver geospatial data across applications.
• Design and maintain dynamic maps and feature-rich spatial layers.
• Ensure accuracy, scalability, and consistency of geospatial data.
• Collaborate with cross-functional teams to provide location-based insights.
• Automate geospatial data ingestion, processing, and validation workflows.
• Conduct spatial analysis to support business intelligence and retail planning.
• Optimize the performance of geospatial services and applications.
• Research and implement new geospatial technologies and best practices.

Requirements

Skills/Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Proficiency with spatial databases such as PostGIS and SQL.
• Strong skills in Python for GIS data processing and automation.
• Hands-on experience with mapping platforms (ArcGIS, QGIS, Mapbox, Google Maps API).
• Knowledge of web mapping standards including GeoJSON, WMS, and WFS.
• Ability to design, optimize, and maintain geospatial workflows and pipelines
• Familiarity with deploying geospatial solutions for both internal and customer-facing applications.

Required Education and Experience

• Strong skills in spatial databases (PostGIS, SQL Server, Oracle Spatial).
• Experience with mapping platforms such as ArcGIS Enterprise/Online, QGIS, Mapbox, Google Maps API, Leaflet, and CARTO.
• Proficiency in geospatial data processing and analysis tools.
• Ability to design and maintain scalable mapping solutions.
• Bachelor’s degree in GIS, Computer Science, Geography, or a related field.