{"schemaVersion":"jobsearcher.job.v1","id":"1ca8245f55e2e9674b3b7aad","url":"https://jobsearcher.com/jobs/1ca8245f55e2e9674b3b7aad","canonicalUrl":"https://jobsearcher.com/jobs/1ca8245f55e2e9674b3b7aad","title":"Python/Azure Data Engineer","description":"Job Summary (Sr. Python/Azure Data Engineer ) Design and implement scalable data and application solutions using Python, Azure, Databricks, Spark, and Azure ML. Develop and optimize complex ETL/ELT data pipelines for large-scale datasets from multiple sources. Use Python, Scala, SQL, Spark, and Databricks for advanced data processing and application development. Optimize performance and cost-efficiency of data jobs via partitioning, caching, and cluster tuning. Collaborate with cross-functional teams (data scientists, analysts, product, and business stakeholders) to translate business requirements into technical deliverables. Implement data security, access control, encryption, compliance standards, and governance frameworks (e.g., Unity Catalog). Establish and maintain data lineage and ensure data assets comply with organizational security and governance policies. Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools. Automate deployment of code, data pipelines, infrastructure, and other assets across development, QA, and production environments. Develop and maintain monitoring, logging, and alerting solutions for production data pipelines/applications. Troubleshoot and resolve performance, reliability, deployment, and production issues. Adhere to software development lifecycle best practices, including code reviews, testing, documentation, and release management. Support Agile project planning and coordinate deliverables across multiple project pods. Utilize approved AI tools to enhance productivity, development efficiency, testing, documentation, and troubleshooting.","company":"Largeton Group","rawCompany":"largeton group","city":"Fort Worth","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-20T10:41:19.077Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python/Azure Data Engineer","description":"Job Summary (Sr. Python/Azure Data Engineer ) Design and implement scalable data and application solutions using Python, Azure, Databricks, Spark, and Azure ML. Develop and optimize complex ETL/ELT data pipelines for large-scale datasets from multiple sources. Use Python, Scala, SQL, Spark, and Databricks for advanced data processing and application development. Optimize performance and cost-efficiency of data jobs via partitioning, caching, and cluster tuning. Collaborate with cross-functional teams (data scientists, analysts, product, and business stakeholders) to translate business requirements into technical deliverables. Implement data security, access control, encryption, compliance standards, and governance frameworks (e.g., Unity Catalog). Establish and maintain data lineage and ensure data assets comply with organizational security and governance policies. Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools. Automate deployment of code, data pipelines, infrastructure, and other assets across development, QA, and production environments. Develop and maintain monitoring, logging, and alerting solutions for production data pipelines/applications. Troubleshoot and resolve performance, reliability, deployment, and production issues. Adhere to software development lifecycle best practices, including code reviews, testing, documentation, and release management. Support Agile project planning and coordinate deliverables across multiple project pods. Utilize approved AI tools to enhance productivity, development efficiency, testing, documentation, and troubleshooting.","datePosted":"2026-10-20T10:41:19.077Z","dateModified":"2026-10-20T10:41:19.077Z","hiringOrganization":{"@type":"Organization","name":"Largeton Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Worth","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1ca8245f55e2e9674b3b7aad"},"url":"https://jobsearcher.com/jobs/1ca8245f55e2e9674b3b7aad"}}