Key Responsibilities and Required Skills for GIS Developer
💰 $95,000 - $135,000
🎯 Role Definition
As a GIS Developer, you will design, build and maintain geospatial systems, web mapping applications and spatial data platforms that enable meaningful location‑based insights. You will collaborate with GIS analysts, software engineers, product teams and domain specialists to translate geographic requirements into technical solutions that integrate spatial data, serve interactive maps, support analytics and drive business value. You will own the full lifecycle of GIS development — from data ingestion and geodatabase design, through application development and deployment — and continuously enhance spatial workflows, performance and usability.
📈 Career Progression
Typical Career Path
Entry Point From:
- GIS Analyst or GIS Specialist with scripting experience
- Web/Front‑End Developer with interest in mapping technologies
- Data Engineer with spatial data exposure
Advancement To:
- Senior GIS Developer / Lead GIS Engineer
- Geospatial Architect or Head of GIS & Location Services
- Director of Geospatial Technology / Chief Location Officer
Lateral Moves:
- Spatial Data Scientist / Geospatial Analyst
- Location‑Based Services Developer (LBS)
- Map Platform Engineer or Cartographic Developer
Core Responsibilities
Primary Functions
- Design, develop and deploy GIS applications and interactive web maps using GIS platforms (e.g., ArcGIS, QGIS, Mapbox, OpenLayers) that meet functional requirements and performance goals.
- Build and maintain spatial databases and geodatabases (PostGIS, Oracle Spatial, SQL Server Spatial) including data models, indexing, spatial queries and performance optimisations.
- Integrate geospatial data from multiple sources (satellite imagery, GPS logs, public datasets) and automate spatial‑data processing workflows using scripting languages (Python, JavaScript) or ETL tools.
- Develop and maintain APIs, web‑services and microservices to support spatial data access (WMS/WFS/REST/GeoJSON) and embed GIS components into enterprise applications.
- Perform spatial analysis, model geoprocessing tasks (overlay, buffer/intersect, raster/vector conversion) and provide maps, visualisations and insights to stakeholders.
- Ensure high‑quality and accurate spatial datasets: implement data‑quality checks, metadata management, coordinate‑reference‐system validation, and support data governance.
- Collaborate with UX/design teams, software engineers and domain experts to translate mapping prototypes and user flows into production‑ready GIS applications.
- Maintain and monitor production GIS infrastructure: monitor services for performance, uptime, geo‑data throughput, spatial query latency, map tile caching and scaling.
- Manage version control, build/deploy pipelines (CI/CD), documentation, testing (unit/integration) and best practices for GIS codebase and applications.
- Lead peer code‑reviews, mentor junior GIS developers, share spatial development best practices and help build a high‑performance GIS engineering team.
- Stay up‑to‑date with emerging geospatial technologies, mapping SDKs, cloud GIS platforms and automation trends and proactively propose enhancements to the GIS roadmap.
- Document GIS architecture, data flows, mapping workflows, application interfaces, user guides and developer guides for future maintenance and knowledge sharing.
- Troubleshoot GIS applications and spatial data pipelines: diagnose production incidents, perform root cause analysis of geoprocessing failures, ensure smooth user experience.
- Refactor and modernise legacy GIS systems, migrate mapping applications to web/cloud environments, optimise for modularity, performance and maintainability.
- Work with business units (planning, logistics, utilities, environment) to identify location‑based opportunities, map business logic to spatial solutions and deliver value‑driven GIS features.
- Configure and administer GIS software platforms and enterprise GIS solutions: setup ArcGIS Server/Enterprise, coordinate upgrades, monitor licensing and system health.
- Implement spatial data security, access control, data encryption and compliance protocols relevant to geographic information systems.
- Enable mobile/offline mapping solutions: develop mapping SDKs, field capture workflows, sync spatial data between mobile and backend systems.
- Provide training and support to end‑users and internal stakeholders on GIS applications, mapping tools and spatial analysis methods.
- Manage large scale geospatial deployments: plan tiled‑map services, geospatial caching strategies, spatial big‑data analytics and integration with business intelligence platforms.
Secondary Functions
- Support ad‑hoc spatial data requests, exploratory map visualisations or geo‑data analytics for business teams.
- Contribute to the organisation’s geospatial platform strategy: define mapping standards, component libraries, data‑exchange protocols and reuse frameworks.
- Collaborate with business functions (utilities, environment, field operations) to translate spatial needs into development tasks and estimate work for agile workflows.
- Participate in sprint planning, backlog refinement, stand‑ups, retrospectives as part of the GIS/SWE agile team.
Required Skills & Competencies
Hard Skills (Technical)
- Programming proficiency in Python, JavaScript, Java or C# for GIS development and automation.
- Experience with GIS platforms and tools such as ESRI ArcGIS (Desktop, Server, Online), QGIS, Mapbox or OpenLayers.
- Knowledge of spatial databases and data modelling: PostGIS, Oracle Spatial, SQL Server Spatial, geodatabase design and indexing.
- Familiarity with web mapping libraries, APIs and services: Leaflet, OpenLayers, ArcGIS API for JavaScript, WMS/WFS/GeoJSON.
- Strong SQL skills, relational database manipulation and performance tuning in spatial context.
- Ability to design, implement and maintain spatial data pipelines, ETL/geo‑processing workflows and automate spatial tasks.
- Experience with GIS system administration: ArcGIS Enterprise, license management, server/install/configuration and monitoring.
- Understanding of coordinate reference systems, geoprocessing, raster/vector data, imagery and remote‑sensing basics.
- Familiarity with version control (Git), CI/CD pipelines, agile methodologies and unit/integration testing for GIS software.
- Experience working with cloud GIS or spatial platforms in cloud environments (AWS, Azure) and containerised deployment of mapping services.
Soft Skills
- Excellent verbal and written communication skills: able to articulate technical spatial solutions to GIS analysts, business users and management.
- Strong analytical and problem‑solving mindset: able to interpret spatial data, debug complex mapping workflows and propose effective solutions.
- Collaboration and teamwork: comfortable working across GIS, software engineering, operations and stakeholder teams to deliver integrated spatial applications.
- Ownership and accountability: responsible for delivering reliable GIS applications, data pipelines and supporting business outcomes.
- Adaptability and continuous learning: proactively stay current with evolving GIS technologies, mapping frameworks and spatial analytics methods.
- Time‑management and prioritisation: able to manage multiple geospatial projects, development tasks, data‑ingestion and operational support.
- Mentoring and leadership: support junior GIS developers or analysts, review code, share best practices and foster a culture of geospatial engineering excellence.
- User‑centric mindset: understand spatial analysts’ and business users’ needs, deliver intuitive mapping tools and focus on usability and performance.
- Quality‑driven orientation: ensure mapping applications, datasets and pipelines are accurate, maintainable, testable and scalable.
- Strategic thinking: align GIS development efforts with broader business objectives, spatial strategy, location‑based services and platform scalability.
Education & Experience
Educational Background
Minimum Education:
Bachelor’s degree in Geography, Geographic Information Systems (GIS), Computer Science, Software Engineering, Data Science or a related field.
Preferred Education:
Master’s degree in GIS, Geospatial Science, Remote Sensing, or a related discipline is a plus.
Relevant Fields of Study:
- Geographic Information Systems (GIS)
- Computer Science / Software Engineering
- Geospatial Science / Remote Sensing
- Data Science / Spatial Analytics
Experience Requirements
Typical Experience Range:
2 – 5 years of experience developing GIS applications, spatial data systems or mapping solutions.
Preferred:
5+ years of experience designing enterprise‑scale geospatial platforms, mentoring others, deploying mapping services at scale and driving GIS strategy.