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GIS Python Developer (QA/QC Automation – ArcGIS Workflow Manager)Location:100% RemoteType:Full-Time / ContractAbout the RoleWe are looking for aGIS Python Developerto design, develop, and implement automated Quality Assurance and Quality Control (QA/QC) processes for spatial data.The role involves writing Python scripts (primarily usingArcPyor theArcGIS API for Python) and integrating them intoEsri's ArcGIS Workflow Managerto 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 inGeographic Information Systems (GIS), Computer Science, Geomatics, or a related field.Proven experience inPython scripting for GIS automation.Strong knowledge ofEsri technologies, includingArcGIS Pro, ArcGIS Enterprise, andArcGIS Workflow Manager.Experience withArcPyand/or theArcGIS API for Python.Understanding ofspatial data models, topology rules, and coordinate systems.Familiarity withdata 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 withversioned geodatabases (ArcSDE)and enterprise data workflows.Exposure toSQLand spatial database management.Knowledge ofautomation frameworksorDevOps practiceswithin 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.
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