{"schemaVersion":"jobsearcher.job.v1","id":"855372f74bea92072897856c","url":"https://jobsearcher.com/jobs/855372f74bea92072897856c","canonicalUrl":"https://jobsearcher.com/jobs/855372f74bea92072897856c","title":"Data Analytics Engineer","description":"Benefits:\nDental insurance\nHealth insurance\nVision insurance\nHi,\n\nWe are actively seeking qualified candidates for the following position for our client, who is an industry leader:\n\nData Analytics Engineer\nLocation: Houston TX (4 days in office)\nType: Full Time\n\nThis role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.\nThis is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.\n\nKey Responsibilities\n· Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).\n· Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.\n· Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.\n· Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows.\n· Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.\n· Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.\n· Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.\nContinuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.\nKnowledge and Skills\nRequired\n· 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.\n· Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.\n· Dimensional modeling fundamentals (star schemas, slowly changing dimensions).\n· A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.\n· Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.\nPreferred\n· Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated or classified.\n· Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.\n· Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.\n· Basic Git / source control experience.\n· Python for data tasks.\nKnowledge of data quality frameworks and data governance practices.\nQualifications\nBachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.\n3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.\n\nFlexible work from home options available.","company":"Dexter Technologies","rawCompany":"dexter technologies","city":"Houston","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-08-22T15:56:35.046Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"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":"Data Analytics Engineer","description":"Benefits:\nDental insurance\nHealth insurance\nVision insurance\nHi,\n\nWe are actively seeking qualified candidates for the following position for our client, who is an industry leader:\n\nData Analytics Engineer\nLocation: Houston TX (4 days in office)\nType: Full Time\n\nThis role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your time writing and optimizing SQL — building staging tables, views, and fact/dimension models — and part of your time building semantic models and reports in Power BI. Keeping an eye on our scheduled data pipelines, you’ll handle first-line troubleshooting when something fails. You'll work closely with the Sr. Manager, Data & Analytics, and with business stakeholders across Finance, Operations, and other functions who depend on accurate, well-modeled data.\nThis is a great fit for someone who wants breadth — real ownership across the data stack — on a team small enough that your work visibly matters.\n\nKey Responsibilities\n· Data modeling & SQL: Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).\n· Semantic models & reporting: Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.\n· Pipeline support: Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.\n· Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows.\n· Business partnership: Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.\n· Documentation: Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.\n· Standards & quality: Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.\nContinuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.\nKnowledge and Skills\nRequired\n· 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.\n· Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.\n· Dimensional modeling fundamentals (star schemas, slowly changing dimensions).\n· A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.\n· Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.\nPreferred\n· Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated or classified.\n· Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.\n· Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.\n· Basic Git / source control experience.\n· Python for data tasks.\nKnowledge of data quality frameworks and data governance practices.\nQualifications\nBachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.\n3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.\n\nFlexible work from home options available.","datePosted":"2026-08-22T15:56:35.046Z","dateModified":"2026-08-22T15:56:35.046Z","hiringOrganization":{"@type":"Organization","name":"Dexter Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"855372f74bea92072897856c"},"url":"https://jobsearcher.com/jobs/855372f74bea92072897856c"}}