{"schemaVersion":"jobsearcher.job.v1","id":"268a686c62342cdf660a46f6","url":"https://jobsearcher.com/jobs/268a686c62342cdf660a46f6","canonicalUrl":"https://jobsearcher.com/jobs/268a686c62342cdf660a46f6","title":"Data Engineer","description":"Mandatory Skills: Python, DBT, SQL, PySpark, and Microsoft Fabric.Job Description:Data Engineering & Pipelines- Design, build, and maintain scalable data pipelines using Python, SQL, PySpark, and Microsoft Fabric.- Integrate with external systems using REST/Graph APIs, managing authentication, pagination, rate limits, and error handling.- Support and enhance existing pipelines, ensuring high reliability, observability, and performance.- Migrate current Python-based or legacy pipelines into Microsoft Fabric (Data Factory, Data Engineering/Notebooks, Lakehouse).Data Analytics & Modeling- Build and maintain data models, semantic layers, and analytics-ready datasets.- Develop transformations and calculations needed for BI and reporting.- Create or support analytical outputs using tools such as Power BI.- Implement data quality checks, validation rules, and data governance best practices.Operations & Continuous Improvement- Troubleshoot pipeline/data issues, identify root causes, and provide long-term solutions.- Optimize performance, cost, and reliability across all data workflows.- Collaborate with business, product, analytics, and IT teams to translate requirements into technical solutions.- Maintain documentation, data lineage, and change management practices.","company":"TechDigital","rawCompany":"techdigital","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-21T03:01:24.648Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","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","description":"Mandatory Skills: Python, DBT, SQL, PySpark, and Microsoft Fabric.Job Description:Data Engineering & Pipelines- Design, build, and maintain scalable data pipelines using Python, SQL, PySpark, and Microsoft Fabric.- Integrate with external systems using REST/Graph APIs, managing authentication, pagination, rate limits, and error handling.- Support and enhance existing pipelines, ensuring high reliability, observability, and performance.- Migrate current Python-based or legacy pipelines into Microsoft Fabric (Data Factory, Data Engineering/Notebooks, Lakehouse).Data Analytics & Modeling- Build and maintain data models, semantic layers, and analytics-ready datasets.- Develop transformations and calculations needed for BI and reporting.- Create or support analytical outputs using tools such as Power BI.- Implement data quality checks, validation rules, and data governance best practices.Operations & Continuous Improvement- Troubleshoot pipeline/data issues, identify root causes, and provide long-term solutions.- Optimize performance, cost, and reliability across all data workflows.- Collaborate with business, product, analytics, and IT teams to translate requirements into technical solutions.- Maintain documentation, data lineage, and change management practices.","datePosted":"2026-05-21T03:01:24.648Z","dateModified":"2026-05-21T03:01:24.648Z","hiringOrganization":{"@type":"Organization","name":"TechDigital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"268a686c62342cdf660a46f6"},"url":"https://jobsearcher.com/jobs/268a686c62342cdf660a46f6"}}