{"schemaVersion":"jobsearcher.job.v1","id":"cebfa23223e3c79d7b861e22","url":"https://jobsearcher.com/jobs/cebfa23223e3c79d7b861e22","canonicalUrl":"https://jobsearcher.com/jobs/cebfa23223e3c79d7b861e22","title":"Applied Data Engineer","description":"MidFirst Bank is seeking a mid-level Data Engineer specializing in Microsoft Fabric and Azure to design, build, and support scalable data pipelines and curated data assets for analytics, reporting, and enterprise decision-making. This role is hands-on and focused on moving data from raw source systems into reliable, well-structured tables, views, and models that support Power BI and broader business intelligence needs.\r\nThe ideal candidate combines strong engineering fundamentals with practical experience across Microsoft's cloud data platform, including Azure and Fabric services such as OneLake, Lakehouse, Warehouse, Synapse, ADLS, Data Factory, Purview, and Power BI.\r\nKey responsibilities Design, build, and maintain batch and near-real-time data pipelines using Microsoft Fabric and Azure data services\r\nIngest data from internal and external source systems into secure, governed enterprise storage and analytics platforms\r\nTransform raw data into curated tables, views, semantic structures, and reusable data products for reporting and analytics teams.\r\nDevelop and optimize ELT/ETL workflows for reliability, scalability, observability, and cost efficiency.\r\nCreate custom data extracts and support downstream modeling, analytics, and reporting use cases.\r\nPartner with business and technical stakeholders to understand data needs, define ingestion requirements, and translate them into engineered solutions.\r\nTroubleshoot data quality, pipeline, schema, and process issues across the data lifecycle.\r\nImplement and support data security, access controls, and governance requirements across the Azure and Fabric environment.\r\nMonitor pipeline execution, investigate failures, and drive continuous improvement in performance and supportability\r\nDocument architecture, data flows, lineage, operational procedures, and engineering standards\r\nEstimate work effort, track progress, and communicate status clearly with teammates and stakeholders.\r\nRequired qualifications Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.\r\n3+ years of experience in data engineering, ETL/ELT development, or cloud data platform engineering.\r\n3+ years of experience with Microsoft Azure data services such as Azure Data Lake, Synapse, Logic Apps, and Integration Runtime services, or closely related platform capabilities.\r\nHands-on experience building solutions in Microsoft Fabric, including one or more of the following: Data Factory, Lakehouse, Warehouse, OneLake, notebooks, or semantic models\r\nStrong SQL skills and experience with database design, data modeling, and performance tuning.\r\nExperience developing data transformations using Python, Spark, SQL, or similar data engineering languages and frameworks, along with experience developing Power BI datasets, semantic models, reports, or dashboards\r\nStrong understanding of dimensional modeling, medallion-style architecture, and analytics-ready data design\r\nAbility to diagnose and resolve data and process issues independently.\r\nStrong written and verbal communication skills with the ability to work directly with stakeholders on data requirements.\r\nPreferred qualifications Experience supporting Power BI datasets, semantic models, and reporting solutions in an enterprise environment.\r\nExperience with Azure DevOps or similar tools for version control, deployment, and release management\r\nFamiliarity with Purview, lineage, cataloging, and data governance practices in regulated environments.\r\nExperience working in financial services, banking, or other highly governed data environments\r\nExposure to infrastructure-as-code, CI/CD pipelines, and environment promotion practices\r\nWorking knowledge of role-based security, sensitive data handling, and enterprise access management\r\nQualifications summary This role is best suited for a hands-on individual contributor who can engineer reliable pipelines, shape data for analytics consumption, and operate effectively across Microsoft Fabric and Azure. The strongest candidates will bring practical ELT experience, solid SQL and modeling skills, sound troubleshooting ability, and a disciplined approach to security, governance, and stakeholder communication.\r\n* Must reside within the market area to be considered.\r\n*Position requires a minimum of 3 years of relevant US based experience.\r\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\r\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.\r\nJ-18808-Ljbffr","company":"Midfirst Bank","rawCompany":"midfirst bank","city":"Oklahoma City","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:18:34.440Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Applied Data Engineer","description":"MidFirst Bank is seeking a mid-level Data Engineer specializing in Microsoft Fabric and Azure to design, build, and support scalable data pipelines and curated data assets for analytics, reporting, and enterprise decision-making. This role is hands-on and focused on moving data from raw source systems into reliable, well-structured tables, views, and models that support Power BI and broader business intelligence needs.\r\nThe ideal candidate combines strong engineering fundamentals with practical experience across Microsoft's cloud data platform, including Azure and Fabric services such as OneLake, Lakehouse, Warehouse, Synapse, ADLS, Data Factory, Purview, and Power BI.\r\nKey responsibilities Design, build, and maintain batch and near-real-time data pipelines using Microsoft Fabric and Azure data services\r\nIngest data from internal and external source systems into secure, governed enterprise storage and analytics platforms\r\nTransform raw data into curated tables, views, semantic structures, and reusable data products for reporting and analytics teams.\r\nDevelop and optimize ELT/ETL workflows for reliability, scalability, observability, and cost efficiency.\r\nCreate custom data extracts and support downstream modeling, analytics, and reporting use cases.\r\nPartner with business and technical stakeholders to understand data needs, define ingestion requirements, and translate them into engineered solutions.\r\nTroubleshoot data quality, pipeline, schema, and process issues across the data lifecycle.\r\nImplement and support data security, access controls, and governance requirements across the Azure and Fabric environment.\r\nMonitor pipeline execution, investigate failures, and drive continuous improvement in performance and supportability\r\nDocument architecture, data flows, lineage, operational procedures, and engineering standards\r\nEstimate work effort, track progress, and communicate status clearly with teammates and stakeholders.\r\nRequired qualifications Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.\r\n3+ years of experience in data engineering, ETL/ELT development, or cloud data platform engineering.\r\n3+ years of experience with Microsoft Azure data services such as Azure Data Lake, Synapse, Logic Apps, and Integration Runtime services, or closely related platform capabilities.\r\nHands-on experience building solutions in Microsoft Fabric, including one or more of the following: Data Factory, Lakehouse, Warehouse, OneLake, notebooks, or semantic models\r\nStrong SQL skills and experience with database design, data modeling, and performance tuning.\r\nExperience developing data transformations using Python, Spark, SQL, or similar data engineering languages and frameworks, along with experience developing Power BI datasets, semantic models, reports, or dashboards\r\nStrong understanding of dimensional modeling, medallion-style architecture, and analytics-ready data design\r\nAbility to diagnose and resolve data and process issues independently.\r\nStrong written and verbal communication skills with the ability to work directly with stakeholders on data requirements.\r\nPreferred qualifications Experience supporting Power BI datasets, semantic models, and reporting solutions in an enterprise environment.\r\nExperience with Azure DevOps or similar tools for version control, deployment, and release management\r\nFamiliarity with Purview, lineage, cataloging, and data governance practices in regulated environments.\r\nExperience working in financial services, banking, or other highly governed data environments\r\nExposure to infrastructure-as-code, CI/CD pipelines, and environment promotion practices\r\nWorking knowledge of role-based security, sensitive data handling, and enterprise access management\r\nQualifications summary This role is best suited for a hands-on individual contributor who can engineer reliable pipelines, shape data for analytics consumption, and operate effectively across Microsoft Fabric and Azure. The strongest candidates will bring practical ELT experience, solid SQL and modeling skills, sound troubleshooting ability, and a disciplined approach to security, governance, and stakeholder communication.\r\n* Must reside within the market area to be considered.\r\n*Position requires a minimum of 3 years of relevant US based experience.\r\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\r\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:18:34.440Z","dateModified":"2026-08-08T01:18:34.440Z","hiringOrganization":{"@type":"Organization","name":"Midfirst Bank","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oklahoma City","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cebfa23223e3c79d7b861e22"},"url":"https://jobsearcher.com/jobs/cebfa23223e3c79d7b861e22"}}