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Google Cloud Platform Big Query Jobs (NOW HIRING)

Java Mulesoft developer with GCP

Dearborn, MI · On-site

$47 - $60.75/hr

... Google Cloud Platform or equivalent - Google Kubernetes Engine(GKE) and Cloud Run - Spring • ... GCP-Big Query - UNIX & Linux Scripting Software Tools - Github - Jenkins or Tekton - Jmeter ...

Deep understanding of Google Cloud Platform (GCP) services, including compute, storage, networking ... Expertise in Big Query, Dataflow, Pub/ Sub handling large datasets. Vertex AI and other GCP ...

Administer and support Google Big Query environments, including datasets, tables, and access ... Collaborate with data engineering and analytics teams on platform best practices

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Strong expertise in Big Query, Dataflow, Pub/Sub, Dataproc, GCS, Airflow. * Advanced Python and SQL ... Google Cloud Professional Cloud Architect (required or within 3 months). (Preferred: Professional ...

Google Cloud Platform Cloud Engineer

Charlotte, NC · On-site

$54.50 - $72.75/hr

- Google Cloud Platform Cloud Engineer, Pre-Onboarding Advisory Location: Charlotte, NC (3 days a week onsite) Role Purpose Provide hands-on technical guidance to application teams during cloud pre ...

Google Cloud Platform Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling ...

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Strong expertise in Google Big Query, Google Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related Google Cloud Platform (GCP) services. * Proficiency in Python and SQL for data processing ...

Data Engineer : F2F @ Phoenix, AZ

Phoenix, AZ · On-site

$113K - $136K/yr

Big Data: PySpark * Spark, Python, Google Cloud Platform is must have * Strong experience with Spark , Data Frames * Big Query background with data processing for large volumes * Another NO Sql DB is ...

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

SQL (Teradata), Google Cloud Platform, Big Query, Gitlab, DESIRED SKILLS: Python, Statistics EDUCATION/CERTIFICATIONS: Bachelors or Masters in Computer Science / Data Science / Business Analytics By ...

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Hands-on expertise with application design and software development in Big Data (Spark(Pyspark ...

Showing results 41-60

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Infographic showing various Google Cloud Platform Big Query job openings in the United States as of September 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Cloud Engineer Google Cloud Platform

Dearborn, MI • On-site

$51.25 - $68.50/hr

Other

Posted 20 days ago


Job description

Sr. Cloud engineer - GCP| W2 Opportunity – C2C candidates are not eligible.

For this role, we need candidates with 9+ years of experience only.


Position Description

We are seeking a Cloud Engineer to design, build, deploy, automate, and support cloud infrastructure and managed services within Google Cloud Platform (Google Cloud Platform). This role will focus on creating scalable, secure, highly available, and cost-effective cloud environments and reusable platform services that serve as building blocks for enterprise and product teams.

The ideal candidate is a hands-on cloud engineer with strong Google Cloud Platform infrastructure experience, Infrastructure-as-Code expertise, and a solid understanding of DevOps, SRE, security, networking, and automation.

Key Responsibilities

  1. Design, build, and deploy cloud infrastructure and reusable cloud platforms aligned with enterprise architecture, security, and business requirements.
  2. Partner with Enterprise Architects, Security teams, Solution Architects, Product teams, and other stakeholders to develop cloud solutions that meet requirements for scalability, availability, performance, reliability, and security.
  3. Develop and maintain Infrastructure-as-Code (IaC) using tools such as Terraform to automate the provisioning and configuration of cloud resources.
  4. Configure and manage Google Cloud Platform services including IAM, Secret Manager, Cloud DNS, Cloud Load Balancing, VPCs, gateways, Kubernetes, Cloud SQL, and NoSQL databases.
  5. Design and implement highly available, resilient, and disaster-recovery-ready cloud environments.
  6. Develop automation scripts and tooling to improve infrastructure deployment, operational efficiency, monitoring, and resource management.
  7. Monitor cloud environments and system usage to identify performance issues, capacity requirements, and opportunities to optimize resource utilization and cloud costs.
  8. Implement and support DevOps practices, including CI/CD pipelines, automated deployments, configuration management, and infrastructure automation.
  9. Apply Site Reliability Engineering (SRE) principles to improve availability, reliability, scalability, and operational performance.
  10. Integrate enterprise security, backup, disaster recovery, and data retention requirements into cloud infrastructure solutions.
  11. Design and optimize cloud storage and database solutions with a focus on availability, security, performance, and cost efficiency.
  12. Evaluate emerging cloud technologies and contribute to modernization initiatives, including migration of on-premises applications and services to Google Cloud Platform.

Primary Skills Required

  • Google Cloud Platform (Google Cloud Platform)
  • Terraform / Infrastructure-as-Code
  • Cloud Infrastructure Engineering
  • Dynatrace
  • Splunk

Additional Skills Preferred

  • Kubernetes
  • Python, Java, or Go
  • API development and integration
  • CI/CD
  • DevOps
  • SRE
  • Cloud networking
  • Cloud security
  • Cloud SQL and NoSQL databases
  • Backup and disaster recovery

Experience Required

Level: Engineer 2 – Practitioner

  • 4+ years of IT experience
  • 3+ years of engineering/development experience
  • Hands-on experience designing, implementing, and supporting cloud infrastructure
  • Experience with at least one programming language or development framework
  • Experience working with Google Cloud Platform cloud services and infrastructure

Additional Experience Preferred

  • Experience designing highly available and resilient Google Cloud Platform environments
  • Experience with Terraform and automated infrastructure provisioning
  • Experience with Google Cloud Platform IAM, Secret Manager, Cloud DNS, and Cloud Load Balancing
  • Experience with Kubernetes and containerized environments
  • Experience with Cloud SQL and NoSQL databases
  • Experience implementing backup, recovery, and disaster recovery solutions
  • Experience with CI/CD pipelines and DevOps practices
  • Experience applying SRE principles in a cloud environment
  • Experience with Dynatrace and Splunk for monitoring and observability
  • Programming or scripting experience with Python, Java, or Go
  • Experience with APIs and cloud-based application integrations

Education Required

  • Bachelor''''''''s Degree

Preferred Education

  • Bachelor''''''''s Degree in Computer Science, Information Technology, Engineering, or a related technical field