• Phoenix, AZ
• Salary: $90,000 - $127,000 per year
• Full time Contract

Requisition Id: #5208

• Assess the current Python codebase, workflows, and dependencies related to geocoding and spatial data processing.
• Refactor and modernize existing Python scripts to improve code readability, modularity, and adherence to best practices (e.g., PEP 8, logging, error handling).
• Maintain and improve integration with multiple geocoding services, including locally installed geocoding software, ArcGIS Server REST-based services, and Google Maps Geocoding API (including quota management and API key security)
• Transition data processing from flat files (CSVs, Esri file geodatabases) to an ArcGIS Enterprise Geodatabase (SQL Server).
• Implement robust logging, error handling, and validation throughout the codebase.
• Optimize and document fallback logic for handling geocoding failures and manual resolution workflows.
• Produce high-quality technical documentation, including code comments and usage instructions, architecture diagrams and workflow documentation.
• Improve the logging and reporting framework for better error tracking and system transparency.
• Collaborate with internal GIS and IT staff for requirements clarification, testing, and implementation support.

• Python Proficiency – Advanced experience writing clean, modular Python code for data processing and automation. Familiarity with best practices including PEP 8, logging, and error handling; libraries may include: pandas, os, shutil, logging, arcpy, pyodbc, requests
• Experience using ArcPy for spatial joins, geoprocessing, and field calculations
• Strong understanding of SQL Server databases, including querying and updating tabular data; working knowledge of geospatial data stored in ArcGIS Enterprise Geodatabases
• Experience working with third-party geocoding APIs, especially Google’s Geocoding API (including authentication, usage limits, and response parsing)
• Familiarity with API security protocols such as OAuth2, API keys, or JWT
• Understanding of API authentication and security protocols

• Adherence to PEP 8 and modular design principles
• Use of Git for version control and collaboration
• Experience writing clean, maintainable, and well-documented code
• Comfortable working independently and delivering clear, reliable deliverables in a contract environment

• Experience modernizing or rewriting legacy Python codebases
• Familiarity with geocoding accuracy scoring, fallback strategies, and manual resolution workflows
• Prior work with public health, government, or GIS teams is a plus

• Refactored Python scripts with improved structure, documentation, and testability.
• Modularized codebase that supports future enhancements and integration of new geocoding services.
• Revised error handling and logging mechanisms.
• Documentation including: code comments and docstrings, developer setup instructions, system architecture diagram or data flow chart
• Updated configuration files and batch scripts (if applicable).
• Knowledge transfer session(s) to internal staff