{"schemaVersion":"jobsearcher.job.v1","id":"bec710dab7071ea67ea16d27","url":"https://jobsearcher.com/jobs/bec710dab7071ea67ea16d27","canonicalUrl":"https://jobsearcher.com/jobs/bec710dab7071ea67ea16d27","title":"Analyst Engineer","description":"BravoTECH is seeking a highly skilled Senior Data Engineer for a premier Dallas-based client. This role is responsible for designing, developing, and supporting enterprise-scale data products and analytics solutions. The ideal candidate combines strong hands-on data engineering expertise with experience building scalable, governed, and reusable data platforms. This individual will partner closely with business stakeholders, Product Delivery Leads, analysts, and fellow engineers to transform complex business requirements into high-quality data products that support enterprise decision-making. This role requires deep expertise in data architecture, pipeline development, data modeling, and platform reliability while contributing to engineering best practices, code quality, and continuous improvement initiatives.\r\nData Engineering & Platform Development\r\nIdeal candidate will be a technical Lead.\r\nDesign, develop, and support enterprise data solutions using ADF, MS Fabric, Python, SQL, PySpark, ETL.\r\nBuild and maintain scalable Medallion Architecture (Bronze, Silver, Gold) data pipelines.\r\nDevelop ingestion, transformation, validation, historization, and monitoring frameworks.\r\nCreate robust ETL/ELT processes using PySpark, Power BI, Python, and SQL.\r\nDesign and maintain governed data products, fact tables, dimensional models, and curated datasets.\r\nSupport integration of ERP, CRM, finance, operational, marketing, and third-party data sources.\r\nEnsure data quality, lineage, observability, performance, and security across all solutions.\r\nOptimize data pipelines for scalability, maintainability, and operational efficiency.\r\nSolution Design & Technical Delivery\r\nTranslate business requirements, epics, and user stories into technical solutions and implementation plans.\r\nCollaborate with Product Delivery Leads, analysts, and business stakeholders to define requirements and deliver value-driven data products.\r\nParticipate in technical design sessions, architecture discussions, and solution reviews.\r\nIdentify dependencies, technical risks, and performance considerations throughout the development lifecycle.\r\nContribute to engineering standards, reusable patterns, and development best practices.\r\nApplication & Analytics Enablement\r\nSupport development of operational and analytical applications within Foundry.\r\nBuild and enhance Foundry Workshop applications and user-facing solutions.\r\nCollaborate with stakeholders to deliver intuitive data experiences and actionable business insights.\r\nDevelop React and JavaScript-based components when required.\r\nGovernance & Operational Excellence\r\nSupport enterprise governance standards including metadata management, RBAC, lineage, and documentation.\r\nImplement validation, testing, monitoring, and operational support processes.\r\nTroubleshoot and resolve complex data quality and pipeline issues.\r\nContribute to technical debt reduction and continuous platform improvement initiatives.\r\nParticipate in code reviews and ensure adherence to engineering standards.\r\nRequired Qualifications\r\nBachelor's Degree in Computer Science, Information Technology, Engineering, or related field.\r\n7+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.\r\nStrong hands-on experience with:\r\nPalantir Foundry\r\nFoundry Pipeline Builder\r\nPySpark\r\nPython\r\nSQL\r\nGit/GitHub\r\nExperience building and supporting Medallion Architecture data platforms.\r\nStrong understanding of\r\nData Modeling\r\nDimensional Modeling\r\nHistorization\r\nData Governance\r\nData Quality Frameworks\r\nExperience integrating enterprise systems such as ERP, CRM, POS, finance, operational, or third-party platforms.\r\nExperience translating business requirements into scalable technical solutions.\r\nStrong communication and stakeholder collaboration skills.\r\nSkills: Microsoft Fabric, Azure Data Factory, Fabric Data Pipelines, Fabric Semantic Models, PySpark, Python, SQL, Azure Data Engineering, ADF, Data Modeling, Medallion Architecture (Bronze, Silver, Gold), Git/GitHub, Power BI.\r\nTechnical Lead\r\nContract: 6-12 month.\r\nOpen to 100% Remote.\r\nDegree\r\nJ-18808-Ljbffr","company":"Bravotech","rawCompany":"bravotech","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:34:23.766Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"Analyst Engineer","description":"BravoTECH is seeking a highly skilled Senior Data Engineer for a premier Dallas-based client. This role is responsible for designing, developing, and supporting enterprise-scale data products and analytics solutions. The ideal candidate combines strong hands-on data engineering expertise with experience building scalable, governed, and reusable data platforms. This individual will partner closely with business stakeholders, Product Delivery Leads, analysts, and fellow engineers to transform complex business requirements into high-quality data products that support enterprise decision-making. This role requires deep expertise in data architecture, pipeline development, data modeling, and platform reliability while contributing to engineering best practices, code quality, and continuous improvement initiatives.\r\nData Engineering & Platform Development\r\nIdeal candidate will be a technical Lead.\r\nDesign, develop, and support enterprise data solutions using ADF, MS Fabric, Python, SQL, PySpark, ETL.\r\nBuild and maintain scalable Medallion Architecture (Bronze, Silver, Gold) data pipelines.\r\nDevelop ingestion, transformation, validation, historization, and monitoring frameworks.\r\nCreate robust ETL/ELT processes using PySpark, Power BI, Python, and SQL.\r\nDesign and maintain governed data products, fact tables, dimensional models, and curated datasets.\r\nSupport integration of ERP, CRM, finance, operational, marketing, and third-party data sources.\r\nEnsure data quality, lineage, observability, performance, and security across all solutions.\r\nOptimize data pipelines for scalability, maintainability, and operational efficiency.\r\nSolution Design & Technical Delivery\r\nTranslate business requirements, epics, and user stories into technical solutions and implementation plans.\r\nCollaborate with Product Delivery Leads, analysts, and business stakeholders to define requirements and deliver value-driven data products.\r\nParticipate in technical design sessions, architecture discussions, and solution reviews.\r\nIdentify dependencies, technical risks, and performance considerations throughout the development lifecycle.\r\nContribute to engineering standards, reusable patterns, and development best practices.\r\nApplication & Analytics Enablement\r\nSupport development of operational and analytical applications within Foundry.\r\nBuild and enhance Foundry Workshop applications and user-facing solutions.\r\nCollaborate with stakeholders to deliver intuitive data experiences and actionable business insights.\r\nDevelop React and JavaScript-based components when required.\r\nGovernance & Operational Excellence\r\nSupport enterprise governance standards including metadata management, RBAC, lineage, and documentation.\r\nImplement validation, testing, monitoring, and operational support processes.\r\nTroubleshoot and resolve complex data quality and pipeline issues.\r\nContribute to technical debt reduction and continuous platform improvement initiatives.\r\nParticipate in code reviews and ensure adherence to engineering standards.\r\nRequired Qualifications\r\nBachelor's Degree in Computer Science, Information Technology, Engineering, or related field.\r\n7+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.\r\nStrong hands-on experience with:\r\nPalantir Foundry\r\nFoundry Pipeline Builder\r\nPySpark\r\nPython\r\nSQL\r\nGit/GitHub\r\nExperience building and supporting Medallion Architecture data platforms.\r\nStrong understanding of\r\nData Modeling\r\nDimensional Modeling\r\nHistorization\r\nData Governance\r\nData Quality Frameworks\r\nExperience integrating enterprise systems such as ERP, CRM, POS, finance, operational, or third-party platforms.\r\nExperience translating business requirements into scalable technical solutions.\r\nStrong communication and stakeholder collaboration skills.\r\nSkills: Microsoft Fabric, Azure Data Factory, Fabric Data Pipelines, Fabric Semantic Models, PySpark, Python, SQL, Azure Data Engineering, ADF, Data Modeling, Medallion Architecture (Bronze, Silver, Gold), Git/GitHub, Power BI.\r\nTechnical Lead\r\nContract: 6-12 month.\r\nOpen to 100% Remote.\r\nDegree\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:34:23.766Z","dateModified":"2026-07-04T02:34:23.766Z","hiringOrganization":{"@type":"Organization","name":"Bravotech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bec710dab7071ea67ea16d27"},"url":"https://jobsearcher.com/jobs/bec710dab7071ea67ea16d27"}}