Description

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

Key Skills

Education

Any Graduate