job summary: Our client is looking for a Python Developer for a 6+ month local opportunity located in Phoenix, AZ. This candidate must have a minimum of 5 years of experience in Python development. location: Phoenix, Arizona job type: Contract salary: $55 - 60 per hour work hours: 8am to 5pm education: Bachelors responsibilities: 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. qualifications: 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 a. Bachelor's degree in Computer Science, Geographic Information Systems, Software Engineering, or a related field. b. Equivalent professional experience may be substituted for formal education. ? Experience a. Minimum of 5 years of experience in Python development b. Demonstrated experience refactoring or modernizing existing codebases for improved maintainability and performance. c. Experience working with government or public health organizations is a plus. skills: 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 a. Bachelor's degree in Computer Science, Geographic Information Systems, Software Engineering, or a related field. b. Equivalent professional experience may be substituted for formal education. ? Experience a. Minimum of 5 years of experience in Python development b. Demonstrated experience refactoring or modernizing existing codebases for improved maintainability and performance. c. Experience working with government or public health organizations is a plus. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.