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Virtual Google Sql Jobs (NOW HIRING)

DataSync Inc

Google CCAI Developer

Charlotte, NC · On-site

Design, develop, and maintain intelligent virtual agents using Google Contact Center AI (CCAI ... SQL * Postman * GitHub * GitLab * JIRA Preferred Skills * Experience with telecom, banking, healt ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

SQL * NLP / Computer Vision as applicable * Generative AI / LLM * Prompt Engineering * RAG * Vector Databases * REST APIs * Docker / Kubernetes * Cloud: AWS / Azure / Google Cloud Platform * Git

Rapinno Tech

Cloud Engineer

Temple Terrace, FL · On-site

$50.75 - $68/hr

... Google Cloud Platform & AWS) * Strong experience in performance tuning of BigQuery SQL scripts ... Networking principles and protocols such as IP subnetting, routing, firewall rules, Virtual Private ...

InfiCare

AI Architect - Retail Domain

Duluth, GA · On-site

Retail Chatbots & Virtual Assistants, Product Content Generation, Customer Service Automation, and ... Python, SQL, Apache Spark, and data engineering frameworks * Google Cloud Platform (Google Cloud ...

New

Prophecy Technologies

Java Full Stack Developer

Bentonville, AR · On-site

$46 - $59.50/hr

... Google GCP, Microsoft Azure, Azure Cloud Stack, Cloud-native architecture. * Databases: SQL, No-SQL ... React web and mobile development, Flux, Flow, Redux, Virtual DOM, Component lifecycle, Component ...

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Virtual Google Sql information

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$21.5K

$87.6K

$127K

How much do virtual google sql jobs pay per year?

As of Sep 3, 2026, the average yearly pay for virtual google sql in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a virtual Google SQL?

A Virtual Google SQL job typically refers to a remote position where an individual manages, maintains, and optimizes Google Cloud SQL databases. These professionals are responsible for database administration, backup and recovery, performance tuning, and ensuring data security within Google Cloud environments. The role often involves collaborating with development teams, troubleshooting database issues, and implementing best practices for data management. Virtual Google SQL roles require knowledge of SQL, cloud computing, and experience with Google Cloud Platform services.

What are the key skills and qualifications needed to thrive as a Google Cloud SQL database administrator?

To thrive as a Google Cloud SQL Database Administrator, you need expertise in relational database management, SQL querying, and a deep understanding of Google Cloud Platform (GCP) services. Familiarity with tools like Google Cloud Console, Cloud SQL Admin API, and certifications such as Google Cloud Certified - Professional Data Engineer are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication help you address technical issues and collaborate with diverse teams. These skills are essential for ensuring database reliability, security, and optimal performance in cloud-based environments.

What are some common challenges faced by virtual Google SQL administrators when managing cloud-based databases, and how can they be addressed?

Virtual Google SQL administrators often encounter challenges such as ensuring high availability, optimizing query performance, and managing security in a cloud environment. Handling automated backups, scaling resources efficiently, and monitoring for potential issues are also key responsibilities. These challenges can be addressed by leveraging built-in Google Cloud tools, setting up automated alerts, and adhering to best practices in database design and access control. Collaboration with application developers and cloud architects is crucial to ensure smooth integration and performance.

What is the difference between Virtual Google Sql vs Database Administrator?

AspectVirtual Google SqlDatabase Administrator
CredentialsGoogle Cloud certifications, SQL knowledgeDatabase management certifications (e.g., Oracle, Microsoft)
Work EnvironmentCloud platforms, remote setupOn-premises or cloud, office or remote
Industry UsageCloud service providers, SaaS companiesVarious industries managing data systems
Search/Comparison IntentCloud SQL management, virtual database servicesDatabase management, system administration

Virtual Google Sql involves managing cloud-based SQL databases within Google Cloud, focusing on cloud infrastructure and virtual environments. In contrast, a Database Administrator oversees the entire database lifecycle, including installation, security, and performance, often across on-premises or cloud systems. While both roles require SQL knowledge, Virtual Google Sql specialists focus on cloud-specific skills, whereas Database Administrators have broader database management expertise.

More about Virtual Google Sql jobs

What cities are hiring for Virtual Google Sql jobs?

Cities with the most Virtual Google Sql job openings:

What are the most commonly searched types of Google Sql jobs?

The most popular types of Google Sql jobs are:

What states have the most Virtual Google Sql jobs?

States with the most job openings for Virtual Google Sql jobs include:

What job categories do people searching Virtual Google Sql jobs look for?

The top searched job categories for Virtual Google Sql jobs are:

Virtual Google Sql jobs near you
Infographic showing various Virtual Google Sql job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Google CCAI Developer

DataSync Inc

Charlotte, NC • On-site

Contractor

Posted 21 days ago

Job description

Location: Charlotte, NC or Denver, CO
Duration: 6+ months

Job Description – Google CCAI (Development & Migration)

Role Title: Google CCAI (Contact Center AI)

Experience: 4–8 Years

Job Summary: 

We are seeking a highly skilled Google CCAI with hands-on experience in designing, developing, and implementing enterprise-grade Conversational AI solutions using the Google Cloud ecosystem. The ideal candidate will have expertise in Conversational AI, Python-based integrations, API orchestration, and cloud-native application development. Experience in contact center transformation, virtual agent modernization, and migration projects from legacy IVR/chatbot platforms to Google CCAI is highly preferred.

Key Responsibilities

Conversational AI Development

  • Design, develop, and maintain intelligent virtual agents using Google Contact Center AI (CCAI).
  • Build voice and chat automation solutions for customer service, sales, technical support, billing, payments, account management, and other contact-center use cases.
  • Configure and manage intents, entities, routes, flows, pages, fulfillment, session parameters, and event handlers.
  • Develop reusable conversation components and enterprise chatbot frameworks.

Integration & Backend Development

  • Develop Python-based webhooks and fulfillment services.
  • Integrate conversational solutions with enterprise applications using REST APIs, gRPC services, middleware platforms, and cloud services.
  • Implement secure authentication mechanisms including OAuth, JWT, and API key-based integrations.
  • Build orchestration layers for customer profile retrieval, account validation, transaction processing, and backend workflows.

Migration & Modernization Projects

  • Participate in migration initiatives involving:
    • Legacy IVR to Google CCAI migration
    • Dialogflow ES to Dialogflow CX migration
    • Chatbot platform migration to Google Conversational AI
    • Legacy rule-based bots to Generative AI-based virtual agents
  • Analyze existing conversation flows, intents, call-routing logic, and backend integrations.
  • Execute migration assessments, solution mapping, conversation redesign, and deployment activities.
  • Support data migration, knowledge migration, and conversational experience modernization efforts.

DevOps & Production Support

  • Manage source code repositories using Git-based version control systems.
  • Support CI/CD deployment pipelines across development, testing, staging, and production environments.
  • Troubleshoot production issues and implement root-cause analysis.
  • Conduct regression testing, performance validation, and release management activities.

Required Technical Skills

Google CCAI Technologies

  • Google Contact Center AI (CCAI)
  • Conversational AI
  • Virtual Agent Development
  • Contact Center Automation

Development

  • Python
  • REST APIs
  • gRPC
  • Webhook Development
  • Microservices Architecture

Cloud Technologies

  • Google Cloud Platform (GCP)
  • Cloud Functions
  • Cloud Run
  • BigQuery
  • Vertex AI
  • Pub/Sub
  • Cloud Storage

Database & Tools

  • SQL
  • Postman
  • GitHub
  • GitLab
  • JIRA

Preferred Skills

  • Experience with telecom, banking, healthcare, retail, or customer service contact centers.
  • Knowledge of speech analytics and conversational analytics.
  • Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
  • Experience with LangChain, LangGraph, AI agents, and Agentic AI frameworks.
  • Exposure to omnichannel customer engagement platforms.
  • Understanding of IVR call flows, contact center operations, and customer experience transformation programs.

Preferred Migration Experience

Candidates with experience in any of the following will be strongly preferred:

  • Genesys to Google CCAI migration
  • NICE CXone to Google CCAI migration
  • Amazon Connect to Google CCAI migration
  • Legacy IVR modernization programs
  • Dialogflow ES to CX migration
  • Traditional chatbot to Generative AI bot transformation
  • Knowledge base migration and conversational redesign initiatives
  • Contact center cloud migration programs

Certifications (Preferred)

  • Google Professional Cloud Architect
  • Google Professional Cloud Developer
  • Google Cloud Digital Leader
  • Google Generative AI Certifications
  • Google Contact Center AI Certifications

Keywords for Sourcing

Google CCAI, Contact Center AI, Gemini, Vertex AI, Conversational AI, Virtual Agent, Voicebot, Chatbot, Prompt Engineering, Python, Webhooks, REST API, gRPC, Google Cloud Platform, Contact Center Modernization, IVR Migration, CX Transformation, Generative AI, Agentic AI, LangChain, RAG, Contact Center Migration, Customer Experience Automation.


DataSync has a core expertise in the areas of recruiting and staffing solutions in USA, Canada and India - providing a one-stop solution to the clients in establishing teams at their onshore, near-shore and offshore facilities. Industry focused teams at DataSync has developed instinctive expertise to rapidly support various industry verticals.