{"schemaVersion":"jobsearcher.job.v1","id":"37e27fcc88d2c9a947886f55","url":"https://jobsearcher.com/jobs/37e27fcc88d2c9a947886f55","canonicalUrl":"https://jobsearcher.com/jobs/37e27fcc88d2c9a947886f55","title":"Data Warehouse Developer","description":"Job Description\n\nSenior Data Warehouse Engineer Location:Irving, TX (Onsite 5 Days/Week) Employment Type:Contract-to-Hire (4–6 Months) Work Authorization:Must be authorized to work in the U.S. without sponsorshipPosition OverviewOur client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.Key TechnologiesAzure Data Factory (ADF)\r\nAzure SQL Database / SQL Server\r\nOracle PL/SQL\r\nSnowflake\r\nJSON Data Processing\r\nREST APIs\r\nData Warehousing\r\nData Modeling\r\nPower BI\r\nPrimary ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Azure Data Factory.\r\nBuild and optimize enterprise data warehouse solutions supporting operational reporting and analytics.\r\nDesign and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.\r\nExtract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.\r\nAnalyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.\r\nDesign and maintain dimensional data models, including star and snowflake schemas.\r\nTransform semi-structured data, including complex JSON payloads, into consumable relational datasets.\r\nDevelop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.\r\nImprove query performance through indexing strategies, partitioning, optimization, and database tuning.\r\nEstablish data engineering standards, best practices, naming conventions, and architectural guidelines.\r\nCollaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.\r\nTroubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.\r\nMentor team members and provide technical leadership on data engineering best practices.\r\nRequired Qualifications8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.\r\nAdvanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.\r\nStrong hands-on experience developing and supporting Azure Data Factory solutions.\r\nDemonstrated experience working within large-scale enterprise data environments.\r\nDeep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.\r\nStrong Oracle PL/SQL development experience.\r\nExperience designing and optimizing large-scale relational databases.\r\nProven ability to tune complex SQL queries and optimize database performance.\r\nExperience working with JSON and other semi-structured data formats.\r\nExperience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.\r\nStrong understanding of dimensional modeling concepts and enterprise data warehouse design.\r\nAbility to evaluate source system structures and design efficient downstream data architectures.\r\nPreferred QualificationsExperience supporting supply chain, logistics, manufacturing, or operational data environments.\r\nExperience working with large ERP platforms such as Oracle EBS or similar enterprise systems.\r\nExperience implementing enterprise data modernization initiatives.\r\nExposure to Power BI and enterprise reporting solutions.\r\nExperience with data governance, data quality, and master data management initiatives.\r\nWhat Success Looks LikeReduce reporting dependency on transactional production systems.\r\nImprove reporting reliability and performance through optimized warehouse architecture.\r\nImplement scalable incremental data ingestion and synchronization processes.\r\nCreate sustainable, maintainable data structures that support long-term business growth.\r\nEstablish engineering best practices that improve efficiency, consistency, and scalability across the data platform.","company":"Expert Technical Solutions","rawCompany":"expert technical solutions","city":"Irving","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-04T01:09:33.887Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","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 Warehouse Developer","description":"Job Description\n\nSenior Data Warehouse Engineer Location:Irving, TX (Onsite 5 Days/Week) Employment Type:Contract-to-Hire (4–6 Months) Work Authorization:Must be authorized to work in the U.S. without sponsorshipPosition OverviewOur client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.Key TechnologiesAzure Data Factory (ADF)\r\nAzure SQL Database / SQL Server\r\nOracle PL/SQL\r\nSnowflake\r\nJSON Data Processing\r\nREST APIs\r\nData Warehousing\r\nData Modeling\r\nPower BI\r\nPrimary ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Azure Data Factory.\r\nBuild and optimize enterprise data warehouse solutions supporting operational reporting and analytics.\r\nDesign and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.\r\nExtract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.\r\nAnalyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.\r\nDesign and maintain dimensional data models, including star and snowflake schemas.\r\nTransform semi-structured data, including complex JSON payloads, into consumable relational datasets.\r\nDevelop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.\r\nImprove query performance through indexing strategies, partitioning, optimization, and database tuning.\r\nEstablish data engineering standards, best practices, naming conventions, and architectural guidelines.\r\nCollaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.\r\nTroubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.\r\nMentor team members and provide technical leadership on data engineering best practices.\r\nRequired Qualifications8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.\r\nAdvanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.\r\nStrong hands-on experience developing and supporting Azure Data Factory solutions.\r\nDemonstrated experience working within large-scale enterprise data environments.\r\nDeep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.\r\nStrong Oracle PL/SQL development experience.\r\nExperience designing and optimizing large-scale relational databases.\r\nProven ability to tune complex SQL queries and optimize database performance.\r\nExperience working with JSON and other semi-structured data formats.\r\nExperience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.\r\nStrong understanding of dimensional modeling concepts and enterprise data warehouse design.\r\nAbility to evaluate source system structures and design efficient downstream data architectures.\r\nPreferred QualificationsExperience supporting supply chain, logistics, manufacturing, or operational data environments.\r\nExperience working with large ERP platforms such as Oracle EBS or similar enterprise systems.\r\nExperience implementing enterprise data modernization initiatives.\r\nExposure to Power BI and enterprise reporting solutions.\r\nExperience with data governance, data quality, and master data management initiatives.\r\nWhat Success Looks LikeReduce reporting dependency on transactional production systems.\r\nImprove reporting reliability and performance through optimized warehouse architecture.\r\nImplement scalable incremental data ingestion and synchronization processes.\r\nCreate sustainable, maintainable data structures that support long-term business growth.\r\nEstablish engineering best practices that improve efficiency, consistency, and scalability across the data platform.","datePosted":"2026-07-04T01:09:33.887Z","dateModified":"2026-07-04T01:09:33.887Z","hiringOrganization":{"@type":"Organization","name":"Expert Technical Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"37e27fcc88d2c9a947886f55"},"url":"https://jobsearcher.com/jobs/37e27fcc88d2c9a947886f55"}}