Google Workspace (GWS) Engineer

Overview

On Site
$70 - $80
Contract - W2
Contract - 6 Month(s)

Skills

WorkSpace

Job Details

Key Responsibilities:
Design, build, and maintain custom REST APIs to integrate Google Workspace with third-party and internal platforms.
Automate administrative tasks across Google Workspace (Gmail, Drive, Calendar, Admin Console, etc.) using Python and PowerShell (for hybrid/multi-cloud environments).
Query, manipulate, and analyze structured and unstructured data using SQL, NoSQL (e.g., BigQuery, MongoDB), and other tools to support automation, reporting, and compliance initiatives.
Develop scripts and tools for user lifecycle management, group policies, and service provisioning.
Interface with the Google Admin SDK, Gmail API, Drive API, and Directory API for advanced configuration and customization.
Ensure security, compliance, and best practices across the Google Workspace environment.
Troubleshoot complex integration issues and serve as a subject matter expert on Google Workspace services.
Collaborate with IT, security, and application teams to align automation and integrations with business needs.
Required Skills & Qualifications:
3 5+ years of experience as a Google Workspace Engineer, Cloud Engineer, or related role.
Deep knowledge of Google Workspace Admin Console and related APIs (e.g., Admin SDK, Apps Script, Directory API).
Proficient in Python and PowerShell scripting for automation in multi-cloud environments.
Hands-on experience with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., BigQuery, MongoDB).
Strong understanding of REST API development and consumption.
Experience with OAuth2, service accounts, and API authentication models.
Familiarity with cloud identity management and SSO integrations.
Excellent problem-solving and technical documentation skills.
Preferred Qualifications:
Google certifications such as Google Workspace Administrator, Professional Cloud Architect, or Professional Collaboration Engineer.
Experience with Google Cloud Platform (Google Cloud Platform) services and tools.
Familiarity with hybrid environments (Google + Microsoft or Google + Slack).
Exposure to CI/CD tools and version control systems (e.g., Git, GitLab).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Cloud Destinations LLC