Roles and Responsibilities

• Refactor and modernize Python scripts for geospatial data processing, adhering to best practices (PEP 8, logging, error handling).
• Maintain and improve integrations with geocoding services (Google Maps API, ArcGIS Server, local software).
• Transition data from flat files to ArcGIS Enterprise Geodatabase (SQL Server).
• Implement robust error handling, logging, and fallback logic for geocoding failures.
• Produce clear technical documentation and collaborate with internal teams for testing and support.

Required Qualifications

• Bachelor’s degree in Computer Science, GIS, or related field (or equivalent experience).
• Minimum 5 years of Python development experience with geospatial data and geocoding services.
• Advanced Python skills for data processing and automation.
• Strong experience with ArcPy for geospatial tasks and SQL Server for managing geospatial data.
• Experience with Google Maps API and geocoding services (authentication, API quotas, response parsing).
• Familiarity with API security protocols (OAuth2, API keys, JWT).
• Adherence to software development best practices (PEP 8, Git, clean code).

Preferred Qualifications

• Experience modernizing legacy Python codebases.
• Knowledge of geocoding accuracy, fallback strategies, and manual resolution workflows.
• Background in GIS, public health, or government sectors.

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