GCP Vertex Data Engineer

RELQ TECHNOLOGIES; Tampa (FL); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Relq Technologies Llc. is seeking a GCP Vertex Data Engineer to design, deploy, and manage scalable data platforms on Google Cloud. You will build Terraform modules, enforce IaC best practices, and collaborate with data and AI teams on Vertex AI workloads.

Hybrid work across Fort Lauderdale, Irving, NJ, and NY is supported. Deep GCP expertise with BigQuery, Dataflow, Pub/Sub, Cloud Run, and CI/CD pipelines, plus IAM and security controls, is required to ensure reliable, compliant production

Qualifications

• Design, deploy, and maintain Terraform modules for enterprise cloud environments.
• Implement Infrastructure as Code (IaC) best practices across dev, test, staging, and prod.

Responsibilities

• Provision and manage GCP infrastructure using Terraform and automation frameworks.
• Build cloud environments with GCP services and infrastructure automation.
• Configure and manage Cloud Run, BigQuery, Cloud Storage, IAM, and Secret Manager.

Skills

GCP Vertex

Terraform

Python

BigQuery

CI/CD

Cloud Run

GKE

IAM

Data Engineering

Security & Governance

Tools

Terraform

Cloud Build

GitHub Actions

Job description

Job Title: GCP Vertex Data Engineer

Level Required for Primary Skill Advanced (12+ years of US experience)

Job Title: GCP Vertex Data Engineer

Level Required for Primary Skill Advanced (12+ years of US experience)

Location: Fort Lauderdale/Irving/NJ/NY (Hybrid)

Responsibilities

• Design, develop, and maintain reusable Terraform modules for enterprise cloud environments.
• Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments.
• Provision and manage GCP infrastructure using Terraform and automation frameworks.
• Build complete cloud environments from scratch using GCP services and infrastructure automation.
• Design, deploy, and manage cloud-native solutions leveraging GCP services.
• Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services.
• Develop and maintain CI/CD pipelines for infrastructure and application deployments.
• Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer
• Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies.
• Ensure platform reliability, scalability, high availability, and disaster recovery readiness.
• Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates.
• Manage Identity and Access Management (IAM), Service Accounts, and security controls.
• Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools.
• Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems
• Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment
• Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run)
• Troubleshoot production issues and execute root cause analysis for critical incidents.
• Develop operational runbooks, architecture documentation, and support procedures.
• Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms.
• Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads.
• Implement security, compliance, and governance standards across cloud environments.