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Google Data Center Engineer Jobs in Florida (NOW HIRING)

Prophecy Technologies

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service ... on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for ...

Accenture

Google Data Specialist

Miami, FL · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Accenture

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

H5 Data Centers

Data Center Mechanical Engineer

Tampa, FL · On-site

$140K - $150K/yr

Bachelor's degree in mechanical engineering or equivalent experience. * Minimum 7 years in data center mechanical design, commissioning, and critical system support. Experience: * Experience in Data ...

Slalom Consulting

General Information

Miami, FL · On-site

$61 - $78.50/hr

Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data ...

US Tech Solutions

Data Center Architect

Miramar, FL

The Data Center Infrastructure Engineer Architect will also play a critical role in efforts related to the growth, design, and engineering of RCL's IT facilities both shoreside and shipboard. This ...

Introl

Data Center Technician

Miami, FL · On-site

$30 - $36/hr

The region's data center market supports international enterprises requiring GPU infrastructure for ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Introl

Data Center Technician

Orlando, FL · On-site

$30 - $36/hr

About Orlando Orlando's data center market serves the tourism, entertainment, and aerospace ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

State of Florida

Data Center Manager

Tallahassee, FL · Hybrid

$158K/yr

Data Center Manager General Summary The Florida Legislature is seeking an experienced and ... engineering and six years of progressively responsible information systems experience, two years of ...

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Google Data Center Engineer information

See Florida salary details

$38.5K

$110.2K

$147.2K

How much do google data center engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for google data center engineer in Florida is $110,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $146,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Google Data Center Engineer, you need a strong background in hardware troubleshooting, network infrastructure, and systems administration, often supported by a degree in computer science, information technology, or a related field. Familiarity with server management tools, Linux/Unix operating systems, data center infrastructure management (DCIM) software, and relevant certifications such as CompTIA Server+ or Cisco CCNA is highly valuable. Strong problem-solving skills, attention to detail, and effective communication are essential for collaborating with teams and quickly resolving technical issues. These abilities ensure the reliability, efficiency, and security of critical Google data center operations.

What does a typical day look like for a Google Data Center Engineer?

A typical day for a Google Data Center Engineer involves monitoring and maintaining servers, networks, and supporting infrastructure to ensure uptime and optimal performance. You'll regularly perform hardware diagnostics, address incidents or outages, and work on routine upgrades or preventative maintenance tasks. Collaboration with other engineers, network specialists, and operations staff is frequent, as teamwork is essential when troubleshooting complex issues or deploying new hardware. While some tasks are planned, the role also requires the flexibility to respond quickly to urgent technical challenges, ensuring Google's services remain robust and available to users worldwide.

What tech jobs pay 400,000 a year?

For a Google Data Center Engineer, annual salaries can reach or exceed $400,000 with experience, bonuses, and stock options. High-paying tech roles often require advanced skills, certifications, and years of experience in areas like cloud infrastructure, network engineering, or systems architecture.

How to get a job at Google Data Center?

To become a Google Data Center Engineer, candidates typically need a bachelor's degree in computer science, electrical engineering, or a related field, along with experience in hardware maintenance, networking, or data center operations. Relevant skills include knowledge of server hardware, networking protocols, and troubleshooting, often supported by certifications like CompTIA Server+ or Cisco CCNA. Applying through Google's careers website and demonstrating technical expertise and problem-solving skills are essential steps in the hiring process.

What is a Google Data Center Engineer job?

A Google Data Center Engineer is responsible for maintaining, troubleshooting, and optimizing the infrastructure that powers Google's data centers. They work with hardware, networking, and cooling systems to ensure high availability and efficiency. This role involves hands-on troubleshooting, server deployment, and collaborating with other teams to improve system reliability. Strong technical skills in networking, hardware maintenance, and Linux are essential for success in this position.

How much do level 3 Google Data Center technicians make?

Level 3 Google Data Center technicians typically earn between $70,000 and $100,000 annually, depending on experience, location, and certifications. They are responsible for advanced hardware troubleshooting, network maintenance, and system upgrades in a data center environment.

How much do Google data center engineers make?

Google data center engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific responsibilities. Salaries can increase with specialized skills, certifications, and seniority levels within the company.
What are the most commonly searched types of Google Data Center Engineer jobs in Florida? The most popular types of Google Data Center Engineer jobs in Florida are:
What are popular job titles related to Google Data Center Engineer jobs in Florida? For Google Data Center Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Google Data Center Engineer jobs in Florida look for? The top searched job categories for Google Data Center Engineer jobs in Florida are:
Google Data Center Engineer jobs near you
Infographic showing various Google Data Center Engineer job openings in Florida as of July 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,196 per year, or $53 per hour.

CCaaS Google Data Engineer

Prophecy Technologies

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Posted 4 days ago

Job description

Role Overview:
This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service) and IVA (Intelligent Virtual Assistant) solutions, leveraging leading Cloud and enterprise conversational AI. The position involves architecting secure and resilient cloud infrastructure, particularly on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for CCaaS data platforms, ensuring data quality, reliability, security, and compliance.
Key Responsibilities:
  • Design and implement scalable CCaaS and IVA solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech.
  • Architect secure, resilient cloud infrastructure on major cloud services providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery.
  • Implement IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
  • Architect, implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management.
  • Lead integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud-based solutions.
  • Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
  • Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems.
  • Understand model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
  • Look proactively beyond the obvious for continuous improvement opportunities.
  • Lead teams and collaborate with stakeholders, demonstrating strong leadership and communication skills.
  • Manage stakeholder expectations and collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals.
  • Contribute to contact center migration to CCaaS and build data solutions surrounding the migration.
  • Define product vision, roadmap, and quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.
  • Orchestrate Agile ceremonies as a Product Owner.

Required Skills:
  • 8+ years of commercial software development experience using Java and/or Python.
  • Proficiency in Cloud technologies, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform.
  • Experience with RDBMS, No SQL databases, Maven, GIT, Jenkins, CI/CD.
  • Expertise in Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage, and Big Query.
  • Strong skills in ETL and Data Modeling.
  • Knowledge of Python, AI/ML, Tensorflow, LLM, GenAI.
  • Experience with Agile development, CI/CD, DevOps, and Observability.
  • Hands-on experience with Kafka, Relational, and/or NoSQL databases.
  • Understanding of data structures, algorithms, and design patterns.
  • Strong skills in Data Architecture design and modeling.
  • Exceptional communication and stakeholder management skills.

Qualifications:
  • 8+ years of commercial software development experience.

Preferred Skills:
  • Experience with Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow.
  • Understanding of model lifecycle, governance, bias mitigation, and explainability.
  • Ability to influence at all levels across functions, from both technical and non-technical perspectives.

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