{"schemaVersion":"jobsearcher.job.v1","id":"88acc8e4c08bc5fdfb4e8b8a","url":"https://jobsearcher.com/jobs/88acc8e4c08bc5fdfb4e8b8a","canonicalUrl":"https://jobsearcher.com/jobs/88acc8e4c08bc5fdfb4e8b8a","title":"DATA Engineer GCP","description":"Job Description\n\nJob Title: DATA Engineer – GCPWork Time Zone: ESTRate: $58-60/hour on 1099/C2CLocation: Atlanta, GA (Hybrid – 3 days on-site)We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).. The ideal candidate is proficient with BigQuery, Dataflow, and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.Core Responsibilities:Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc.Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning.Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation.Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation.Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.Technical Skills:Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud StorageExpertise in SQL, Python, and ETL/ELT developmentKnowledge of Infrastructure as Code tools (e.g., Terraform)Familiarity with CI/CD tools: Google Cloud Build, JenkinsUnderstanding of data modeling, partitioning, clustering, and materialized viewsWorking knowledge of data quality frameworks and governance principlesExperience with Vertex AI, or a strong interest in ML/AI workflows on GCPApache Spark, Kafka, Apache AirflowDBT or Dataform for transformationsDocker, Kubernetes for ContainerizationSnowflake, Databricks or other modern platformsSoft Skills:Strong communication and collaboration skillsAbility to manage priorities and work independentlyAnalytical thinking and problem-solving mindsetPreferred Skills (Bonus):Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)Domain experience in energy, utilities, or industrial sectorsExperience Requirements:Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)Professional Experience:8-10 years of experience in data engineeringProven hands-on experience with GCP and modern data architecture","company":"Krest Global Solutions","rawCompany":"krest global solutions","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-07-30T23:37:24.515Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DATA Engineer GCP","description":"Job Description\n\nJob Title: DATA Engineer – GCPWork Time Zone: ESTRate: $58-60/hour on 1099/C2CLocation: Atlanta, GA (Hybrid – 3 days on-site)We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).. The ideal candidate is proficient with BigQuery, Dataflow, and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.Core Responsibilities:Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc.Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning.Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation.Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation.Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.Technical Skills:Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud StorageExpertise in SQL, Python, and ETL/ELT developmentKnowledge of Infrastructure as Code tools (e.g., Terraform)Familiarity with CI/CD tools: Google Cloud Build, JenkinsUnderstanding of data modeling, partitioning, clustering, and materialized viewsWorking knowledge of data quality frameworks and governance principlesExperience with Vertex AI, or a strong interest in ML/AI workflows on GCPApache Spark, Kafka, Apache AirflowDBT or Dataform for transformationsDocker, Kubernetes for ContainerizationSnowflake, Databricks or other modern platformsSoft Skills:Strong communication and collaboration skillsAbility to manage priorities and work independentlyAnalytical thinking and problem-solving mindsetPreferred Skills (Bonus):Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)Domain experience in energy, utilities, or industrial sectorsExperience Requirements:Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)Professional Experience:8-10 years of experience in data engineeringProven hands-on experience with GCP and modern data architecture","datePosted":"2026-07-30T23:37:24.515Z","dateModified":"2026-07-30T23:37:24.515Z","hiringOrganization":{"@type":"Organization","name":"Krest Global Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"88acc8e4c08bc5fdfb4e8b8a"},"url":"https://jobsearcher.com/jobs/88acc8e4c08bc5fdfb4e8b8a"}}