GIS Automation Engineer

About the role

EPE's GIS team is looking for a GIS Automation Engineer to scale its geospatial data operations through software. The role identifies opportunities to automate rules-based GIS work and builds the Python scripts, custom services and integrations that let the team deliver at a higher velocity. The engineer chooses the right tool for each task across Python, SQL, REST APIs, ArcPy and other ETL platforms.

Key responsibilities

• Partner with GIS analysts, software engineers and project managers to scope automation opportunities, estimate effort and deliver measurable improvements to team output.
• Design, build and maintain Python tools and scripts that streamline how the team processes geospatial data throughout the project lifecycle.
• Develop custom geospatial services, attribute rules and ArcGIS Workflow Manager configurations that enforce data quality at entry and consolidate workflows across regions into unified service layers.
• Evaluate and recommend new tools or technologies that improve productivity or data quality.
• Support data integration and scripting needs for EPE's consulting lines of business.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Geography, GIS or a related field, or equivalent professional experience.
• 3+ years of professional experience delivering scripting, automation or software solutions in a GIS or geospatial data context.
• Strong Python programming skills, with production-ready tools, services or automation workflows.
• Working knowledge of the Esri/ArcGIS ecosystem, including ArcGIS Pro, ArcPy, the ArcGIS REST API, Enterprise Geodatabase concepts and Feature Services.
• Experience with Git, code review practices and well-documented, maintainable code.
• Excellent written and verbal communication, able to explain technical trade-offs to non-technical stakeholders.

Preferred experience

• ArcGIS Enterprise administration (Portal for ArcGIS, ArcGIS Server, ArcGIS Datastore, hosted services, users and roles).
• Strong SQL (PostgreSQL preferred), including query optimization, stored procedures and schema design.
• Database administration in PostgreSQL or SQL Server (backups, replication, performance tuning, Enterprise Geodatabase upkeep).
• Exposure to Safe FME (Workbench, Flow, Desktop, ArcGIS Data Interoperability).
• Electric utility data (PSS/E, Utility Network Model, CIM) or prior work in the energy and utilities sector.
• CI/CD pipelines or infrastructure as code tooling.