{"schemaVersion":"jobsearcher.job.v1","id":"cefffc2675f82e9ff2d7a1a9","url":"https://jobsearcher.com/jobs/cefffc2675f82e9ff2d7a1a9","canonicalUrl":"https://jobsearcher.com/jobs/cefffc2675f82e9ff2d7a1a9","title":"Principal Engineer I - Senior Data Engineer","description":"Software Resources has an immediate, direct hire job opportunity for a Principal Engineer I - Senior Data Engineer with a major corporation in Phoenix, AZ or Dallas, TX. 4 days on site, Fridays remote.\n\nCandidate MUST be an expert in Pyspark.\n\nWhat you'll do:\nAs the Principal Data Engineer, you are accountable to design, build, and implement critical components of the enterprise data platform in accordance with the strategic data and analytics needs of our Bank Regulatory Reporting Program.\n\nThis challenging role requires the best of your data management, cloud data engineering and technology knowledge to develop a cross-business unit data tier that is leveraged to implement and enhance the Bank's regulatory reporting capabilities, including Large Financial Institution requirements. The Principal Data Engineer is a pioneer in our modern data platform working directly with data analysts, data engineers, enterprise architects, and business stakeholders. Embedded in the Enterprise Data & Analytics function, you influence the culture of data integration practices and are essential to mentoring other data professionals.\nImplement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Bank Regulatory Reporting and LFI strategy and roadmap.\nDevelop ETL and data pipeline capabilities considering how data is created, transformed, stored, archived, analyzed, and shared across the Bank and our partner systems.\nExpert-level PySpark development experience, including:\nWriting dynamic, parameterized, and reusable PySpark code\nBuilding shared frameworks, helper functions, and companion notebook structures\nPerformance tuning and optimization of Spark workloads\nImplement Azure DevOps CI/CD pipelines for all data solutions in adherence to Bank technical standards.\nApply Test Driven Development methodology to all data solutions designed, built, and implemented.\nLead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.\nPerform data exploration and data profiling with tools such as SSAS.\nActively participate in making data architecture decisions.\nProvide technical mentorship to team members and other data professionals.\nCollaborate with product owners and business stakeholders to gain a working understanding of business requirements and operational processes.\nImplement built-in quality and compliance- by-design in all data solutions.\nImplement methods to include unstructured data and big data.\nWhat you'll need:\n8+ years' experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics and/or Databricks.\n5+ years' experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred.\nBachelor's degree in engineering or related field.\nExpert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.\nDesign and build reusable, dynamic PySpark components, including:\nCompanion notebook frameworks\nShared helper functions and libraries\nParameter-driven ingestion and transformation patterns\nSupport and influence the migration from Azure Synapse to Microsoft Fabric, including modernization of patterns and frameworks.\nExpert level experience in conceptual, logical, and physical data design.\nCertifications within Azure such as Azure Fundamentals, Azure Fabric Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.\nExperience with design tools as it relates to creating conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart.\nExcellent communication skills both verbal and written.\nFamiliarity with data science and analytics tools such as SAS, Tableau, PowerBI.\nExperience in Agile, SAFe, and/or Scrum is preferred.\nExperience integrating with data quality, data catalog and data lineage tools is preferred.\nAdditional Cloud Data certifications with any major cloud provides (Azure, AWS, GCP) is preferred.\nBanking or financial services industry experience or other highly regulated industry experience is preferred.\nRegulatory Reporting, including Large Financial Institution requirements, is preferred.\n\nAbout Software Resources\nSoftware Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.\n\nWe are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.\n\nIf this position fits interests you, we encourage you to apply. You can view all our job openings at Software Resources Careers.","company":"Software Resources","rawCompany":"software resources","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-08-05T01:27:31.581Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","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":"Principal Engineer I - Senior Data Engineer","description":"Software Resources has an immediate, direct hire job opportunity for a Principal Engineer I - Senior Data Engineer with a major corporation in Phoenix, AZ or Dallas, TX. 4 days on site, Fridays remote.\n\nCandidate MUST be an expert in Pyspark.\n\nWhat you'll do:\nAs the Principal Data Engineer, you are accountable to design, build, and implement critical components of the enterprise data platform in accordance with the strategic data and analytics needs of our Bank Regulatory Reporting Program.\n\nThis challenging role requires the best of your data management, cloud data engineering and technology knowledge to develop a cross-business unit data tier that is leveraged to implement and enhance the Bank's regulatory reporting capabilities, including Large Financial Institution requirements. The Principal Data Engineer is a pioneer in our modern data platform working directly with data analysts, data engineers, enterprise architects, and business stakeholders. Embedded in the Enterprise Data & Analytics function, you influence the culture of data integration practices and are essential to mentoring other data professionals.\nImplement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Bank Regulatory Reporting and LFI strategy and roadmap.\nDevelop ETL and data pipeline capabilities considering how data is created, transformed, stored, archived, analyzed, and shared across the Bank and our partner systems.\nExpert-level PySpark development experience, including:\nWriting dynamic, parameterized, and reusable PySpark code\nBuilding shared frameworks, helper functions, and companion notebook structures\nPerformance tuning and optimization of Spark workloads\nImplement Azure DevOps CI/CD pipelines for all data solutions in adherence to Bank technical standards.\nApply Test Driven Development methodology to all data solutions designed, built, and implemented.\nLead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.\nPerform data exploration and data profiling with tools such as SSAS.\nActively participate in making data architecture decisions.\nProvide technical mentorship to team members and other data professionals.\nCollaborate with product owners and business stakeholders to gain a working understanding of business requirements and operational processes.\nImplement built-in quality and compliance- by-design in all data solutions.\nImplement methods to include unstructured data and big data.\nWhat you'll need:\n8+ years' experience with data engineering specifically in Extract, Transform and Load (ETL) concepts and processes, enterprise data warehouse capabilities, database principles, and other related tools and technologies; preferably strong to expert in Azure Data Factory, Azure Synapse Analytics and/or Databricks.\n5+ years' experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience strongly preferred.\nBachelor's degree in engineering or related field.\nExpert level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL.\nDesign and build reusable, dynamic PySpark components, including:\nCompanion notebook frameworks\nShared helper functions and libraries\nParameter-driven ingestion and transformation patterns\nSupport and influence the migration from Azure Synapse to Microsoft Fabric, including modernization of patterns and frameworks.\nExpert level experience in conceptual, logical, and physical data design.\nCertifications within Azure such as Azure Fundamentals, Azure Fabric Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer.\nExperience with design tools as it relates to creating conceptual architecture diagrams and data flow diagrams such as Visio, Archimate, Lucidchart.\nExcellent communication skills both verbal and written.\nFamiliarity with data science and analytics tools such as SAS, Tableau, PowerBI.\nExperience in Agile, SAFe, and/or Scrum is preferred.\nExperience integrating with data quality, data catalog and data lineage tools is preferred.\nAdditional Cloud Data certifications with any major cloud provides (Azure, AWS, GCP) is preferred.\nBanking or financial services industry experience or other highly regulated industry experience is preferred.\nRegulatory Reporting, including Large Financial Institution requirements, is preferred.\n\nAbout Software Resources\nSoftware Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity.\n\nWe are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.\n\nIf this position fits interests you, we encourage you to apply. You can view all our job openings at Software Resources Careers.","datePosted":"2026-08-05T01:27:31.581Z","dateModified":"2026-08-05T01:27:31.581Z","hiringOrganization":{"@type":"Organization","name":"Software Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cefffc2675f82e9ff2d7a1a9"},"url":"https://jobsearcher.com/jobs/cefffc2675f82e9ff2d7a1a9"}}