GIS Python Developer

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

100% Remote Type :

Full-Time / Contract

About the Role We 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 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 standards

Ensure 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 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 Qualifications Experience 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 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.