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Google Coding Jobs in Arizona (NOW HIRING)

IT America Inc

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

... services, and the Google Maps API. This contract position will focus on improving the ... The refactored code should follow Python best practices (including PEP 8), improve error handling ...

ClifyX

CCaaS-Five9-GCP-Senior Engineer

Phoenix, AZ · On-site

$54.75 - $70.75/hr

Responsibilities : • Candidate must have Deep knowledge of Google CCAI, AWS Connect or Five9 data ... Code (Terraform) to support enterprise-grade customer experience platforms. • Architect ...

Prophecy Technologies

Senior Five9 GCP Engineer

Phoenix, AZ · On-site

$54.75 - $70.75/hr

The successful candidate will leverage Google Cloud Platform (GCP) and Google CX (Dialogflow CX ... as Code (Terraform) to support enterprise-grade customer experience platforms. * Architect ...

IntraEdge

GCP Data Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

* Google Cloud Platform services such as BigQuery, Dataproc and Cloud Composer, while strengthening ... and peer code reviews. * Knowledge of Python * Experience working with large-scale data ...

IntraEdge

GCP Data Engineer II

Phoenix, AZ

$114K - $137K/yr

* Google Cloud Platform services such as BigQuery, Dataproc and Cloud Composer, while strengthening ... and peer code reviews. * Knowledge of Python * Experience working with large-scale data ...

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How much do google coding jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google coding in Arizona is $30.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.16 per hour, depending on experience, location, and employer.

What is a Google coding?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What does a typical workday look like for someone in a Google coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.

What are the key skills and qualifications needed to thrive in the Google coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What are the most commonly searched types of Google Coding jobs in Arizona?

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For Google Coding jobs in Arizona, the most frequently searched job titles are:

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Google Coding jobs near you
Infographic showing various Google Coding job openings in Arizona as of August 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $64,005 per year, or $30.8 per hour.

Python Developer

IT America Inc

Phoenix, AZ • On-site

$50 - $68.75/hr

Other

Re-posted yesterday

Job description

Title: Python Developer

Location: Onsite in Phoenix, AZ LOCAL CANDIDATES ONLY

Duration: Long term contract

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