{"schemaVersion":"jobsearcher.job.v1","id":"b2a3d21da968b17f8cb57c5b","url":"https://jobsearcher.com/jobs/b2a3d21da968b17f8cb57c5b","canonicalUrl":"https://jobsearcher.com/jobs/b2a3d21da968b17f8cb57c5b","title":"GCP Python Data Engineer","description":"GCP Python Data Engineer\r\nJob Location: Charlotte, NC or Irvine, TX or Edison, NJ or Phoenix, AZ\r\nRequired Skills & Experience\r\nGCP Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL\r\nProgramming: Python (advanced)\r\nQuery Language: SQL (advanced)\r\nData Processing: Batch & Streaming architectures\r\nScripting: Bash/Shell scripting\r\nConcepts: Data Warehousing, ETL/ELT, Data Lake / Lakehouse architectures\r\n5+ years of overall data engineering or software engineering experience\r\n3+ years of hands-on Google Cloud Platform experience\r\n3+ years of Python development\r\n3+ years of experience building data pipelines (batch and streaming)\r\nPreferred Qualifications\r\nExperience with Dataproc (Spark/PySpark) for large-scale processing\r\nFamiliarity with event-driven architectures\r\nKnowledge of Terraform or Infrastructure as Code\r\nUnderstanding of cost optimization (FinOps)\r\nKey Responsibilities\r\nData Engineering & Pipeline Development\r\nDesign, build, and maintain scalable batch and real-time data pipelines using GCP services such as Dataflow, Dataproc, and Pub/Sub\r\nDevelop and optimize ETL/ELT workflows for structured and unstructured data processing\r\nImplement event-driven data processing using Cloud Functions and Pub/Sub\r\nBuild and manage data ingestion frameworks for streaming and batch data sources\r\nData Storage & Processing\r\nDesign and optimize data lakes and data warehouses using BigQuery and Cloud Storage\r\nDevelop efficient data models to support analytics, reporting, and machine learning workloads\r\nOptimize performance and cost of data pipelines and queries\r\nDevelopment & Automation\r\nDevelop reusable and scalable solutions using Python\r\nAutomate workflows and orchestration using Cloud Composer (Airflow)\r\nImplement CI/CD pipelines and deployment automation\r\nCollaboration & Support\r\nCollaborate with analytics, AI/ML, and business teams for data consumption needs\r\nTroubleshoot data issues and perform root cause analysis\r\nContinuously improve pipeline reliability, scalability, and performance\r\nBenefits\r\nFlexible work\r\nHealthcare including dental, vision, mental health, and well-being programs\r\nFinancial well-being programs such as 401(k) and Employee Share Ownership Plan\r\nPaid time off and paid holidays\r\nPaid parental leave\r\nFamily building benefits like adoption assistance, surrogacy, and cryopreservation\r\nSocial well-being benefits like subsidized back-up child/elder care and tutoring\r\nMentoring, coaching and learning programs\r\nEmployee Resource Groups and other benefits as provided by local policy and eligibility\r\nPaid time off based on employee grade (A-F): Vacation 12-25 days, Company paid holidays, Personal Days, Sick Leave\r\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\r\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\r\nLife and disability insurance\r\nEmployee assistance programs\r\nCompensation\r\nThe base compensation range for this role in the posted location is: $80,420 to $106,050. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\r\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\r\nEqual Opportunity Employer\r\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","company":"Capgemini","rawCompany":"capgemini","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:18:48.507Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Python Data Engineer","description":"GCP Python Data Engineer\r\nJob Location: Charlotte, NC or Irvine, TX or Edison, NJ or Phoenix, AZ\r\nRequired Skills & Experience\r\nGCP Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL\r\nProgramming: Python (advanced)\r\nQuery Language: SQL (advanced)\r\nData Processing: Batch & Streaming architectures\r\nScripting: Bash/Shell scripting\r\nConcepts: Data Warehousing, ETL/ELT, Data Lake / Lakehouse architectures\r\n5+ years of overall data engineering or software engineering experience\r\n3+ years of hands-on Google Cloud Platform experience\r\n3+ years of Python development\r\n3+ years of experience building data pipelines (batch and streaming)\r\nPreferred Qualifications\r\nExperience with Dataproc (Spark/PySpark) for large-scale processing\r\nFamiliarity with event-driven architectures\r\nKnowledge of Terraform or Infrastructure as Code\r\nUnderstanding of cost optimization (FinOps)\r\nKey Responsibilities\r\nData Engineering & Pipeline Development\r\nDesign, build, and maintain scalable batch and real-time data pipelines using GCP services such as Dataflow, Dataproc, and Pub/Sub\r\nDevelop and optimize ETL/ELT workflows for structured and unstructured data processing\r\nImplement event-driven data processing using Cloud Functions and Pub/Sub\r\nBuild and manage data ingestion frameworks for streaming and batch data sources\r\nData Storage & Processing\r\nDesign and optimize data lakes and data warehouses using BigQuery and Cloud Storage\r\nDevelop efficient data models to support analytics, reporting, and machine learning workloads\r\nOptimize performance and cost of data pipelines and queries\r\nDevelopment & Automation\r\nDevelop reusable and scalable solutions using Python\r\nAutomate workflows and orchestration using Cloud Composer (Airflow)\r\nImplement CI/CD pipelines and deployment automation\r\nCollaboration & Support\r\nCollaborate with analytics, AI/ML, and business teams for data consumption needs\r\nTroubleshoot data issues and perform root cause analysis\r\nContinuously improve pipeline reliability, scalability, and performance\r\nBenefits\r\nFlexible work\r\nHealthcare including dental, vision, mental health, and well-being programs\r\nFinancial well-being programs such as 401(k) and Employee Share Ownership Plan\r\nPaid time off and paid holidays\r\nPaid parental leave\r\nFamily building benefits like adoption assistance, surrogacy, and cryopreservation\r\nSocial well-being benefits like subsidized back-up child/elder care and tutoring\r\nMentoring, coaching and learning programs\r\nEmployee Resource Groups and other benefits as provided by local policy and eligibility\r\nPaid time off based on employee grade (A-F): Vacation 12-25 days, Company paid holidays, Personal Days, Sick Leave\r\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\r\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\r\nLife and disability insurance\r\nEmployee assistance programs\r\nCompensation\r\nThe base compensation range for this role in the posted location is: $80,420 to $106,050. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\r\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\r\nEqual Opportunity Employer\r\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-06-26T03:18:48.507Z","dateModified":"2026-06-26T03:18:48.507Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b2a3d21da968b17f8cb57c5b"},"url":"https://jobsearcher.com/jobs/b2a3d21da968b17f8cb57c5b"}}