Gis Python Developer

GIS Python Developer (QA/QC Automation – ArcGIS Workflow Manager) Location: 100% RemoteType: Full-Time / ContractAbout the RoleWe are looking for a GIS Python Developer to design, develop, and implement automated Quality Assurance and Quality Control (QA/QC) processes for spatial data.The role involves writing Python scripts (primarily using ArcPy or the ArcGIS API for Python ) and integrating them into Esri's ArcGIS Workflow Manager to streamline and automate GIS data validation across teams.Key ResponsibilitiesDevelop QA/QC Scripts:Create and maintain Python scripts to automatically identify and correct spatial data issues such as:Missing or invalid geometryPolygon overlaps or gapsAttribute inconsistenciesCoordinate system mismatchesTopology and connectivity errors (e.g., roads not connecting properly)Integrate with ArcGIS Workflow Manager:Configure and embed QA/QC scripts as automated steps within ArcGIS Workflow Manager task sequences, enabling:Automatic validation after data edits or updatesFlagging and reporting of errors for correctionConsistent enforcement of spatial data quality standardsEnsure Data Integrity and Compliance:Maintain accuracy, consistency, and traceability of all GIS data edits and updates across the enterprise environment.Collaborate Across Teams:Work closely with GIS analysts, database administrators, and developers to ensure smooth integration, performance optimization, and scalability of QA/QC solutions.QualificationsBachelor's degree in Geographic Information Systems (GIS), Computer Science, Geomatics , or a related field.Proven experience in Python scripting for GIS automation .Strong knowledge of Esri technologies , including ArcGIS Pro, ArcGIS Enterprise , and ArcGIS Workflow Manager .Experience with ArcPy and/or the ArcGIS API for Python .Understanding of spatial data models, topology rules, and coordinate systems .Familiarity with data quality management principles (QA/QC) in GIS environments.Strong analytical and problem-solving skills with attention to detail.Excellent communication skills and ability to work in a collaborative environment.Preferred QualificationsExperience with versioned geodatabases (ArcSDE) and enterprise data workflows.Exposure to SQL and spatial database management.Knowledge of automation frameworks or DevOps practices within GIS.What You'll AchieveYou'll play a key role in building a repeatable, automated, and auditable quality-control process for spatial data—ensuring every dataset and map product meets enterprise accuracy standards before publication or approval.