{"schemaVersion":"jobsearcher.job.v1","id":"98ea2b4b226a91c67b0d1c7b","url":"https://jobsearcher.com/jobs/98ea2b4b226a91c67b0d1c7b","canonicalUrl":"https://jobsearcher.com/jobs/98ea2b4b226a91c67b0d1c7b","title":"Data Engineer - GCP","description":"Overview Experience: 8+ years of experience in Data Engineering.\r\nWe are looking for a Data Engineer to support enterprise data engineering and analytics initiatives. The ideal candidate will have strong expertise in modern cloud data platforms and data transformation frameworks, along with the ability to build scalable, high-quality data solutions.\r\nThis role requires a combination of technical expertise, problem-solving skills, and collaboration to support business-critical data pipelines and analytics use cases. The successful candidate will work closely with data architects, analytics teams, and business stakeholders to deliver reliable and efficient data solutions.\r\nResponsibilities Design, develop, and maintain scalable data pipelines and data transformation workflows.\r\nBuild and optimize data models to support reporting, analytics, and business intelligence initiatives.\r\nDevelop robust ETL/ELT processes using modern cloud-native technologies.\r\nCollaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.\r\nEnsure data quality, integrity, and performance across enterprise data platforms.\r\nOptimize SQL queries and data processing workflows for performance and scalability.\r\nParticipate in code reviews, testing, and deployment activities following engineering best practices.\r\nSupport production environments by troubleshooting data issues and implementing continuous improvements.\r\nContribute to documentation, technical design discussions, and knowledge-sharing initiatives.\r\nSkills Required Technical Skills Strong experience with Google BigQuery .\r\nHands-on experience with Dataform or dbt .\r\nAdvanced proficiency in SQL .\r\nExperience building scalable ETL/ELT pipelines and data transformation workflows.\r\nStrong understanding of data modeling, data warehousing, and cloud-based data platforms.\r\nExperience working with version control and modern software development practices.\r\nProfessional Skills Strong analytical and problem-solving abilities.\r\nExcellent communication and stakeholder collaboration skills.\r\nAbility to work effectively in a cross-functional team environment.\r\nSelf-driven with the ability to manage multiple priorities in a fast-paced consulting environment.\r\nQualifications & Experience Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.\r\n8+ years of experience in Data Engineering.\r\nExperience working with Google BigQuery, Dataform or dbt, and Advanced SQL is required.\r\nExperience in a consulting or client-facing environment is preferred.\r\nWork Location: Atlanta, GA (preferred). Remote candidates across the U.S. are welcome, provided they can work EST/CST business hours .\r\nJ-18808-Ljbffr","company":"Mathco","rawCompany":"mathco","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:22:33.332Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - GCP","description":"Overview Experience: 8+ years of experience in Data Engineering.\r\nWe are looking for a Data Engineer to support enterprise data engineering and analytics initiatives. The ideal candidate will have strong expertise in modern cloud data platforms and data transformation frameworks, along with the ability to build scalable, high-quality data solutions.\r\nThis role requires a combination of technical expertise, problem-solving skills, and collaboration to support business-critical data pipelines and analytics use cases. The successful candidate will work closely with data architects, analytics teams, and business stakeholders to deliver reliable and efficient data solutions.\r\nResponsibilities Design, develop, and maintain scalable data pipelines and data transformation workflows.\r\nBuild and optimize data models to support reporting, analytics, and business intelligence initiatives.\r\nDevelop robust ETL/ELT processes using modern cloud-native technologies.\r\nCollaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.\r\nEnsure data quality, integrity, and performance across enterprise data platforms.\r\nOptimize SQL queries and data processing workflows for performance and scalability.\r\nParticipate in code reviews, testing, and deployment activities following engineering best practices.\r\nSupport production environments by troubleshooting data issues and implementing continuous improvements.\r\nContribute to documentation, technical design discussions, and knowledge-sharing initiatives.\r\nSkills Required Technical Skills Strong experience with Google BigQuery .\r\nHands-on experience with Dataform or dbt .\r\nAdvanced proficiency in SQL .\r\nExperience building scalable ETL/ELT pipelines and data transformation workflows.\r\nStrong understanding of data modeling, data warehousing, and cloud-based data platforms.\r\nExperience working with version control and modern software development practices.\r\nProfessional Skills Strong analytical and problem-solving abilities.\r\nExcellent communication and stakeholder collaboration skills.\r\nAbility to work effectively in a cross-functional team environment.\r\nSelf-driven with the ability to manage multiple priorities in a fast-paced consulting environment.\r\nQualifications & Experience Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.\r\n8+ years of experience in Data Engineering.\r\nExperience working with Google BigQuery, Dataform or dbt, and Advanced SQL is required.\r\nExperience in a consulting or client-facing environment is preferred.\r\nWork Location: Atlanta, GA (preferred). Remote candidates across the U.S. are welcome, provided they can work EST/CST business hours .\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:22:33.332Z","dateModified":"2026-08-08T01:22:33.332Z","hiringOrganization":{"@type":"Organization","name":"Mathco","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"98ea2b4b226a91c67b0d1c7b"},"url":"https://jobsearcher.com/jobs/98ea2b4b226a91c67b0d1c7b"}}