{"schemaVersion":"jobsearcher.job.v1","id":"9768629ad46510c2f38d3241","url":"https://jobsearcher.com/jobs/9768629ad46510c2f38d3241","canonicalUrl":"https://jobsearcher.com/jobs/9768629ad46510c2f38d3241","title":"Data Engineering Engineer","description":"Job Summary Data Engineering Engineer 2 (#1061533): Design, build, and maintain data solutions encompassing data infrastructure, pipelines, and storage for efficient and accurate processing and analysis of large datasets. Collaborate with business and technology stakeholders to gather and understand data requirements. Develop scalable data infrastructure for data collection, transformation, and analysis. Build and maintain data pipelines, models, and applications to ensure reliable and efficient data workflows. Implement and support data platforms, such as data warehouses, data lakes, and lakehouses for both structured and unstructured data. Develop analytical tools, algorithms, and scripts to streamline and automate data engineering processes. Perform data ingestion, data wrangling, and transformations, particularly using Big Query. Utilize stored procedures, triggers, data modeling, Qlik View, cloud functions, Data Fusion, Astronomer, and Airflow. Ensure optimal performance of data systems and identify opportunities for improvement. Employ AI-assisted development tools (e.g., Gemini Code Assist, OpenCode, GitHub Copilot) and integrate AI tools into the development lifecycle for automation and productivity. Work with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. Preferred experience with GCP cloud services, Vertex AI, Gemini models, and AI APIs. Minimum of 4+ years of Data Engineering experience required. Bachelor s or Master s degree required.","company":"Largeton Group","rawCompany":"largeton group","city":"Dearborn","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-07-30T11:04:16.160Z","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":"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 Engineering Engineer","description":"Job Summary Data Engineering Engineer 2 (#1061533): Design, build, and maintain data solutions encompassing data infrastructure, pipelines, and storage for efficient and accurate processing and analysis of large datasets. Collaborate with business and technology stakeholders to gather and understand data requirements. Develop scalable data infrastructure for data collection, transformation, and analysis. Build and maintain data pipelines, models, and applications to ensure reliable and efficient data workflows. Implement and support data platforms, such as data warehouses, data lakes, and lakehouses for both structured and unstructured data. Develop analytical tools, algorithms, and scripts to streamline and automate data engineering processes. Perform data ingestion, data wrangling, and transformations, particularly using Big Query. Utilize stored procedures, triggers, data modeling, Qlik View, cloud functions, Data Fusion, Astronomer, and Airflow. Ensure optimal performance of data systems and identify opportunities for improvement. Employ AI-assisted development tools (e.g., Gemini Code Assist, OpenCode, GitHub Copilot) and integrate AI tools into the development lifecycle for automation and productivity. Work with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. Preferred experience with GCP cloud services, Vertex AI, Gemini models, and AI APIs. Minimum of 4+ years of Data Engineering experience required. Bachelor s or Master s degree required.","datePosted":"2026-07-30T11:04:16.160Z","dateModified":"2026-07-30T11:04:16.160Z","hiringOrganization":{"@type":"Organization","name":"Largeton Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9768629ad46510c2f38d3241"},"url":"https://jobsearcher.com/jobs/9768629ad46510c2f38d3241"}}