{"schemaVersion":"jobsearcher.job.v1","id":"eefae2fe0f6cc8af6247fac9","url":"https://jobsearcher.com/jobs/eefae2fe0f6cc8af6247fac9","canonicalUrl":"https://jobsearcher.com/jobs/eefae2fe0f6cc8af6247fac9","title":"GCP Data Engineer","description":"GCP Data EngineerWe are seeking an experienced GCP Data Engineer to design, build, and optimize enterprise-grade data platforms on Google Cloud. In this role, you will be responsible for building robust batch and real-time data pipelines, managing cloud data warehouses, and enabling analytics and reporting across large-scale data environments.Key Responsibilities:Cloud Pipeline Architecture: Design, develop, and maintain automated batch and streaming data pipelines using GCP services including BigQuery, Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Cloud Storage (GCS).Data Warehousing & Optimization: Build and optimize large-scale data models in BigQuery utilizing partitioning, clustering, and materialized views to maximize query performance and control compute costs.Programming & Automation: Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data manipulation, and pipeline orchestration.CI/CD & DevOps Integration: Implement and support Git-based version control, continuous integration, and continuous delivery (CI/CD) pipelines using tools like Jenkins for code deployment, testing, and automated monitoring.BI & Reporting Support: Collaborate with business intelligence and analytics teams by preparing clean, structured datasets and assisting with data integration for reporting tools such as Tableau or Looker.AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed for downstream AI/ML solutions and predictive analytics.Required Qualifications:Core Cloud Stack: 6 to 9 years of hands-on experience in data engineering, with strong expertise in core GCP services: BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS.Languages & Frameworks: Expert-level proficiency in Python, SQL, and PySpark / Apache Beam.DevOps Best Practices: Experience with Git, Jenkins automation, code integration, and peer code reviews within an Agile environment.Visualization & BI: Experience supporting data integration, data modeling, and performance tuning for downstream dashboards (e.g., Tableau).AI/ML Awareness: Basic understanding of AI/ML concepts and practical exposure to integrating data for AI/ML models or solutions is preferred.","company":"Ividtek","rawCompany":"ividtek","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-25T02:32:53.434Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Data Engineer","description":"GCP Data EngineerWe are seeking an experienced GCP Data Engineer to design, build, and optimize enterprise-grade data platforms on Google Cloud. In this role, you will be responsible for building robust batch and real-time data pipelines, managing cloud data warehouses, and enabling analytics and reporting across large-scale data environments.Key Responsibilities:Cloud Pipeline Architecture: Design, develop, and maintain automated batch and streaming data pipelines using GCP services including BigQuery, Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Cloud Storage (GCS).Data Warehousing & Optimization: Build and optimize large-scale data models in BigQuery utilizing partitioning, clustering, and materialized views to maximize query performance and control compute costs.Programming & Automation: Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data manipulation, and pipeline orchestration.CI/CD & DevOps Integration: Implement and support Git-based version control, continuous integration, and continuous delivery (CI/CD) pipelines using tools like Jenkins for code deployment, testing, and automated monitoring.BI & Reporting Support: Collaborate with business intelligence and analytics teams by preparing clean, structured datasets and assisting with data integration for reporting tools such as Tableau or Looker.AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed for downstream AI/ML solutions and predictive analytics.Required Qualifications:Core Cloud Stack: 6 to 9 years of hands-on experience in data engineering, with strong expertise in core GCP services: BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS.Languages & Frameworks: Expert-level proficiency in Python, SQL, and PySpark / Apache Beam.DevOps Best Practices: Experience with Git, Jenkins automation, code integration, and peer code reviews within an Agile environment.Visualization & BI: Experience supporting data integration, data modeling, and performance tuning for downstream dashboards (e.g., Tableau).AI/ML Awareness: Basic understanding of AI/ML concepts and practical exposure to integrating data for AI/ML models or solutions is preferred.","datePosted":"2026-08-25T02:32:53.434Z","dateModified":"2026-08-25T02:32:53.434Z","hiringOrganization":{"@type":"Organization","name":"Ividtek","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eefae2fe0f6cc8af6247fac9"},"url":"https://jobsearcher.com/jobs/eefae2fe0f6cc8af6247fac9"}}