Python Developer

Job Category:
Developer

Job Type:
Onsite

Job Location:
Arizona Phoenix

Compensation:
Depends on Experience

W2:
W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.

Job Description
Job Description:
Overview:
The Arizona Department of Health Services (ADHS) is seeking a skilled and

experienced Python developer to modernize and refactor the Python codebase that supports an

existing full-stack geocoding system. This system includes multiple Python scripts for data

processing and automation, a SQL Server database, Esri file geodatabases, and a PHP-based

web interface for configuring and running geocoding jobs. It also features a manual geocoding

interface built with the ArcGIS JavaScript API. Geocoding workflows leverage a combination of

locally installed geocoding software, ArcGIS Server-based geocoding services, and the Google

Maps API.

This contract position will focus on improving the maintainability, clarity, and structure of the

existing Python codebase. Core responsibilities include refactoring scripts that handle

geocoding logic, address standardization, data validation, and geospatial enrichment. The

refactored code should follow Python best practices (including PEP 8), improve error handling

and logging, and allow for more efficient testing, debugging, and future enhancement.

Key Responsibilities

• 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.

Required Skills & Experience

• Core Technical Proficiency
• 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
• Software Development Best Practices
• 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

• Preferred Qualifications
• 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

Deliverables

• 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

Qualifications

• Education
• Bachelor's degree in Computer Science, Geographic Information Systems,

Software Engineering, or a related field.

• Equivalent professional experience may be substituted for formal education.
• Experience
• Minimum of 5 years of experience in Python development
• Demonstrated experience refactoring or modernizing existing codebases for

improved maintainability and performance.

• Experience working with government or public health organizations is a plus.

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