{"schemaVersion":"jobsearcher.job.v1","id":"0aa78b9637dc83aa8b3a604d","url":"https://jobsearcher.com/jobs/0aa78b9637dc83aa8b3a604d","canonicalUrl":"https://jobsearcher.com/jobs/0aa78b9637dc83aa8b3a604d","title":"Data Engineer","description":"Job Description\r\nWe are looking for an experienced Data Engineer to join the Supply/Yield Data Engineering team and support a large-scale data modernization and analytics transformation programme through 2026.\r\nThis role will focus on designing, developing, and maintaining data pipelines that bring data into Databricks, support Inventory and Yield analytics initiatives, and enable business-critical reporting within Tableau Cloud. The successful candidate will also contribute to the migration of reporting assets from Looker to Tableau while helping modernize existing legacy data engineering solutions.\r\nKey Responsibilities\r\nDesign, develop, and maintain ETL/ELT pipelines to ingest and transform data into Databricks.\r\nBuild and support scalable data pipelines using AWS, Databricks, and Snowflake.\r\nWork closely with business and technical stakeholders to understand requirements and translate them into robust data solutions.\r\nDevelop core data assets and datasets that support analytics and reporting consumed through Tableau Cloud.\r\nSupport the Inventory ART programme by delivering Data Engineering solutions and increasing team capacity during migration activities.\r\nEnhance and optimize existing legacy data engineering jobs and processes.\r\nContribute to the migration of reporting solutions from Looker to Tableau.\r\nCreate and maintain technical documentation, specifications, and implementation guides.\r\nPerform testing, validation, and quality assurance activities to ensure data accuracy and reliability.\r\nProvide post-delivery support, incident resolution, and troubleshooting for production workloads.\r\nImplement Infrastructure as Code (IaC) solutions using Terraform.\r\nBuild and manage CI/CD pipelines using Concourse or GitHub Actions to enable reliable and automated deployments.\r\nHelp identify and mitigate risks, including reducing Single Points of Failure (SPOF) through documentation, automation, and knowledge sharing.\r\nCollaborate with fellow engineers to establish and promote engineering best practices.\r\nRequired Skills & Experience\r\nStrong experience in Data Engineering and ETL/ELT development.\r\nHands-on experience with Databricks.\r\nStrong SQL skills with experience working on large datasets.\r\nExperience building data pipelines within AWS environments.\r\nExperience with Snowflake data warehousing.\r\nExperience with Spark/PySpark.\r\nHands-on experience with Terraform and Infrastructure as Code (IaC).\r\nKnowledge of CI/CD practices and tools such as GitHub Actions, Concourse, Jenkins, or similar.\r\nExperience supporting and troubleshooting production data pipelines.\r\nStrong understanding of testing, data quality, and operational support processes.\r\nExcellent problem-solving and collaboration skills.\r\nNice to Have\r\nExperience with Tableau or Tableau Cloud.\r\nExperience supporting Looker to Tableau migrations.\r\nExperience working within Supply Chain, Inventory, Yield, or Manufacturing domains.\r\nData modelling and analytics engineering experience.\r\nExperience modernizing legacy data platforms and applications.\r\nJ-18808-Ljbffr","company":"Gcs Recruitment","rawCompany":"gcs recruitment","city":"Laurel","state":"MT","isRemote":false,"isActive":false,"createdAt":"2026-08-12T00:55:55.016Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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","description":"Job Description\r\nWe are looking for an experienced Data Engineer to join the Supply/Yield Data Engineering team and support a large-scale data modernization and analytics transformation programme through 2026.\r\nThis role will focus on designing, developing, and maintaining data pipelines that bring data into Databricks, support Inventory and Yield analytics initiatives, and enable business-critical reporting within Tableau Cloud. The successful candidate will also contribute to the migration of reporting assets from Looker to Tableau while helping modernize existing legacy data engineering solutions.\r\nKey Responsibilities\r\nDesign, develop, and maintain ETL/ELT pipelines to ingest and transform data into Databricks.\r\nBuild and support scalable data pipelines using AWS, Databricks, and Snowflake.\r\nWork closely with business and technical stakeholders to understand requirements and translate them into robust data solutions.\r\nDevelop core data assets and datasets that support analytics and reporting consumed through Tableau Cloud.\r\nSupport the Inventory ART programme by delivering Data Engineering solutions and increasing team capacity during migration activities.\r\nEnhance and optimize existing legacy data engineering jobs and processes.\r\nContribute to the migration of reporting solutions from Looker to Tableau.\r\nCreate and maintain technical documentation, specifications, and implementation guides.\r\nPerform testing, validation, and quality assurance activities to ensure data accuracy and reliability.\r\nProvide post-delivery support, incident resolution, and troubleshooting for production workloads.\r\nImplement Infrastructure as Code (IaC) solutions using Terraform.\r\nBuild and manage CI/CD pipelines using Concourse or GitHub Actions to enable reliable and automated deployments.\r\nHelp identify and mitigate risks, including reducing Single Points of Failure (SPOF) through documentation, automation, and knowledge sharing.\r\nCollaborate with fellow engineers to establish and promote engineering best practices.\r\nRequired Skills & Experience\r\nStrong experience in Data Engineering and ETL/ELT development.\r\nHands-on experience with Databricks.\r\nStrong SQL skills with experience working on large datasets.\r\nExperience building data pipelines within AWS environments.\r\nExperience with Snowflake data warehousing.\r\nExperience with Spark/PySpark.\r\nHands-on experience with Terraform and Infrastructure as Code (IaC).\r\nKnowledge of CI/CD practices and tools such as GitHub Actions, Concourse, Jenkins, or similar.\r\nExperience supporting and troubleshooting production data pipelines.\r\nStrong understanding of testing, data quality, and operational support processes.\r\nExcellent problem-solving and collaboration skills.\r\nNice to Have\r\nExperience with Tableau or Tableau Cloud.\r\nExperience supporting Looker to Tableau migrations.\r\nExperience working within Supply Chain, Inventory, Yield, or Manufacturing domains.\r\nData modelling and analytics engineering experience.\r\nExperience modernizing legacy data platforms and applications.\r\nJ-18808-Ljbffr","datePosted":"2026-08-12T00:55:55.016Z","dateModified":"2026-08-12T00:55:55.016Z","hiringOrganization":{"@type":"Organization","name":"Gcs Recruitment","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Laurel","addressRegion":"MT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0aa78b9637dc83aa8b3a604d"},"url":"https://jobsearcher.com/jobs/0aa78b9637dc83aa8b3a604d"}}