{"schemaVersion":"jobsearcher.job.v1","id":"31b9588abb36241ee9049c8a","url":"https://jobsearcher.com/jobs/31b9588abb36241ee9049c8a","canonicalUrl":"https://jobsearcher.com/jobs/31b9588abb36241ee9049c8a","title":"Data Engineering Engineer 3","description":"OverviewAs a Full Stack Data Engineer, you will design, build, and optimize scalable data pipelines on the Google Cloud Platform to enable trusted analytics. You will collaborate with stakeholders to shape data infrastructure, warehouses, and lakehouse solutions, driving reliable data flow and governance. Your role combines data engineering with full-stack skills to raise performance and cost efficiency in a modern cloud data platform. You'll work in a growth-focused team that values innovation and continuous learning.Compensation / BenefitsMedical, dental, vision401kTerm lifeVoluntary life and disability insuranceOptional FSAWork-visa sponsorshipResponsibilitiesCollaborate with business and technology stakeholders to define data requirementsDesign, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysisPlan and maintain data pipelines, models, and applications for efficient workflowsDesign and develop data platforms (data warehouses, data lakes, lakehouse) for structured and unstructured dataDevelop analytical tools, scripts, and automation to support data engineering activitiesEnsure performance optimization and identify improvement opportunitiesKey requirements5-7 years in Data Engineering or Software Engineering2+ years deploying cloud-based data platforms on GCPStrong SQL, Java, and PythonExperience with BigQuery, Dataflow, DataProcSOA and microservices understanding in cloud data platformsExperience with PostgreSQL/MySQL, NoSQL, and columnar databases (BigQuery)Knowledge of data governance, encryption, masking in cloud environmentsFamiliarity with CI/CD, IaC (Terraform, Tekton), automation frameworksExcellent analytical and problem-solving skillsCost/performance optimization in GCP pipelinesanalytical mindsetproblem-solvingcollaborationGCP (BigQuery, Dataflow, Pub/Sub, DataProc)SQLJava","company":"Kyyba","rawCompany":"kyyba","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:11:42.279Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Engineer 3","description":"OverviewAs a Full Stack Data Engineer, you will design, build, and optimize scalable data pipelines on the Google Cloud Platform to enable trusted analytics. You will collaborate with stakeholders to shape data infrastructure, warehouses, and lakehouse solutions, driving reliable data flow and governance. Your role combines data engineering with full-stack skills to raise performance and cost efficiency in a modern cloud data platform. You'll work in a growth-focused team that values innovation and continuous learning.Compensation / BenefitsMedical, dental, vision401kTerm lifeVoluntary life and disability insuranceOptional FSAWork-visa sponsorshipResponsibilitiesCollaborate with business and technology stakeholders to define data requirementsDesign, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysisPlan and maintain data pipelines, models, and applications for efficient workflowsDesign and develop data platforms (data warehouses, data lakes, lakehouse) for structured and unstructured dataDevelop analytical tools, scripts, and automation to support data engineering activitiesEnsure performance optimization and identify improvement opportunitiesKey requirements5-7 years in Data Engineering or Software Engineering2+ years deploying cloud-based data platforms on GCPStrong SQL, Java, and PythonExperience with BigQuery, Dataflow, DataProcSOA and microservices understanding in cloud data platformsExperience with PostgreSQL/MySQL, NoSQL, and columnar databases (BigQuery)Knowledge of data governance, encryption, masking in cloud environmentsFamiliarity with CI/CD, IaC (Terraform, Tekton), automation frameworksExcellent analytical and problem-solving skillsCost/performance optimization in GCP pipelinesanalytical mindsetproblem-solvingcollaborationGCP (BigQuery, Dataflow, Pub/Sub, DataProc)SQLJava","datePosted":"2026-10-26T13:11:42.279Z","dateModified":"2026-10-26T13:11:42.279Z","hiringOrganization":{"@type":"Organization","name":"Kyyba","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"31b9588abb36241ee9049c8a"},"url":"https://jobsearcher.com/jobs/31b9588abb36241ee9049c8a"}}