{"schemaVersion":"jobsearcher.job.v1","id":"26fa853a98184614b77f2c2e","url":"https://jobsearcher.com/jobs/26fa853a98184614b77f2c2e","canonicalUrl":"https://jobsearcher.com/jobs/26fa853a98184614b77f2c2e","title":"Data Engineer Google Cloud Platform (mid-level)","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, Relanto, Inc., is seeking the following. Apply via Dice today!Role: Data Engineer – Google Cloud Platform (mid-level)Duration: 6+ monthsLocation: Bay Area, CA (hybrid)Job Summary:We are looking for a skilled Data Engineer with 2–4 years of experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks.The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions.Required Skills:2–4 years of experience in Data Engineering or related roles Strong hands-on experience with Python and SQL Experience with PySpark and distributed data processing Good knowledge of BigQuery and Google Cloud Platform services Experience with Apache Airflow for orchestration Hands-on experience with dbt for data transformation and modeling Understanding of ETL/ELT frameworks and data warehousing concepts Familiarity with Google Cloud Platform services such as: BigQuery Cloud Storage Dataproc Composer Pub/Sub Experience with Git and CI/CD practices Strong analytical and problem-solving skills Good to Have:Exposure to streaming pipelines using Kafka or Pub/Sub Understanding of data governance and security concepts Experience with Terraform or Infrastructure as Code Knowledge of containerization (Docker/Kubernetes) Preferred Qualification:Bachelor’s degree in Computer Science, Engineering, or related field Google Cloud Platform certification is a plus","company":"Via Dice","rawCompany":"via dice","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-05T11:05:05.362Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"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":"Data Engineer Google Cloud Platform (mid-level)","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, Relanto, Inc., is seeking the following. Apply via Dice today!Role: Data Engineer – Google Cloud Platform (mid-level)Duration: 6+ monthsLocation: Bay Area, CA (hybrid)Job Summary:We are looking for a skilled Data Engineer with 2–4 years of experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks.The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions.Required Skills:2–4 years of experience in Data Engineering or related roles Strong hands-on experience with Python and SQL Experience with PySpark and distributed data processing Good knowledge of BigQuery and Google Cloud Platform services Experience with Apache Airflow for orchestration Hands-on experience with dbt for data transformation and modeling Understanding of ETL/ELT frameworks and data warehousing concepts Familiarity with Google Cloud Platform services such as: BigQuery Cloud Storage Dataproc Composer Pub/Sub Experience with Git and CI/CD practices Strong analytical and problem-solving skills Good to Have:Exposure to streaming pipelines using Kafka or Pub/Sub Understanding of data governance and security concepts Experience with Terraform or Infrastructure as Code Knowledge of containerization (Docker/Kubernetes) Preferred Qualification:Bachelor’s degree in Computer Science, Engineering, or related field Google Cloud Platform certification is a plus","datePosted":"2026-06-05T11:05:05.362Z","dateModified":"2026-06-05T11:05:05.362Z","hiringOrganization":{"@type":"Organization","name":"Via Dice","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"26fa853a98184614b77f2c2e"},"url":"https://jobsearcher.com/jobs/26fa853a98184614b77f2c2e"}}