REQUIRED SKILLS & QUALIFICATIONS

• Bachelor’s degree in Geography, GIS, Computer Science, or a related field.
• 3-5 years of professional and/or academic experience in GIS, GIS development, or geospatial data engineering.
• Demonstrated experience with:
• ESRI ArcGIS Suite
• Python

PREFERRED QUALIFICATIONS

• ESRI Certifications, GISP, or other professional GIS certifications
• Experience with ArcGIS Online, ArcGIS Enterprise, or Esri REST APIs.
• Experience with ESRIs ModelBuilder and/or implementing Python in a GIS environment.
• Experience with Microsoft PowerBI.
• Experience working with APIs and connecting disparate systems.
• Experience conducting Network Analyses in the ArcGIS Pro Network Analyst Extension.
• Experience working with international team members.
• Exposure to transportation, transit, public safety, or infrastructure sectors.
• Understanding of real-time or high-frequency spatial data (e.g., vehicle tracking data, traffic sensors, IoT feeds).
• Experience supervising GIS Programmers, Analysts, or other geospatial roles.
  Job Type: Full-time
  Work Location: In perso

ROLE PURPOSE

To assist in the design, automation, and maintenance of a scalable GIS infrastructure that supports operational intelligence, smart system development, and geospatial analytics. This role blends geospatial engineering, scripting, and data integration in a fast-paced, impact-driven environment.

KEY RESPONSIBILITIES

• Assist in building, automating, and managing GIS infrastructure for geospatial analytics and operational support.
• Develop custom scripts and tools in Python, such as in ArcPy, for data processing, task automation, and complex network analyses.
• Support the integration of GIS data into Applied Information’s proprietary software systems and dashboards.
• Assist in the design and manage the maintenance of geodatabases, schema, and data standards.
• Design, build, and maintain mapping products and analysis layers, primarily through Esri GIS tools.
• Coordinate and collaborate with Applied Information’s Infrastructure team to support data engineering pipelines, including importing, cleaning, and transforming spatial datasets.
• Assist in QA/QC of geospatial data products and ensure reliability and consistency in outputs.
• Document methods and procedures to ensure best practices