Gis Python Developer

GIS Python Developer (QA / QC Automation – ArcGIS Workflow Manager)

Location : 100% Remote

Type : Full-Time / ContractAbout the Role

We 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 Responsibilities

Develop QA / QC Scripts :

Create and maintain Python scripts to automatically identify and correct spatial data issues such as :

Missing or invalid geometry

Polygon overlaps or gaps

Attribute inconsistencies

Coordinate system mismatches

Topology 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 updates

Flagging and reporting of errors for correction

Consistent 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.Qualifications

Bachelor'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 Qualifications

Experience withversioned geodatabases (ArcSDE)and enterprise data workflows.

Exposure toSQLand spatial database management.

Knowledge ofautomation frameworksorDevOps practiceswithin GIS.What You'll Achieve

You'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.