{"schemaVersion":"jobsearcher.job.v1","id":"761ddf3ceaeff7d6474c28a7","url":"https://jobsearcher.com/jobs/761ddf3ceaeff7d6474c28a7","canonicalUrl":"https://jobsearcher.com/jobs/761ddf3ceaeff7d6474c28a7","title":"Principal Data Engineer","description":"As a Principal Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Distributed, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The individual is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users, scale the existing platform, and help drive engineering/operational excellence. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.\n\n Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create a platform to drive deep insights around GoDaddy’s business to help our customers succeed in theirs.\n\nResponsibilities\n\nInterface with our Business Analytics & data science teams, gathering requirements and delivering complete BI solutions.\nMentor junior engineers.\nModel data and metadata to support discovery, ad-hoc and pre-built reporting.\nDesign and implement data pipelines using Hadoop, spark, and AWS services such as S3, RDS, Kinesis, Glue, Redshift, & EMR\nPartner with security, privacy, and legal teams to deliver solutions that comply to GoDaddy security and privacy policies.\nOwn the design, development, and maintenance of datasets our BA teams will use to drive key business decisions.\nDevelop and promote best practices in data engineering, including scalability, reusability, maintainability, and usability.\nTune and ensure compute performance by optimizing queries, databases, files, tables, and processes.\nEnsure data & report SLAs are met.\nAnalyze and solve problems at their root, stepping back to understand the broader context.\nOwn continuous engineering operational excellence of the datasets that drive key business decisions.\nLearn and understand a broad range of GoDaddy’s data resources and know when, how, and which to use and which not to use.\nkeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.\nContinually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.\nTriage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.\n\n Qualifications\n\nBachelor’s degree in CS or related technical field.\n10+ years of experience in data architecture and business intelligence.\n3 + years of experience in developing solutions in distributed technologies such as Hadoop, hive and spark.\nExperience in delivering end to end solutions using AWS services – S3, RDS, Kinesis, Glue, Redshift, & EMR.\nExperience in programming using Python, Java or Scala\nExpert in data modeling, metadata management, and data quality.\nSQL performance tuning.\nStrong organizational and multitasking skills with ability to balance competing priorities.\nExcellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.\nAn ability to work in a fast-paced ambiguous environment where continuous innovation is occurring.\n\nJob Category: Information Technology\nJob Type: Contract\nJob Location: US","company":"Virtue Tech","rawCompany":"virtue tech","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-04T09:19:48.348Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Data Engineer","description":"As a Principal Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Distributed, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The individual is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users, scale the existing platform, and help drive engineering/operational excellence. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.\n\n Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create a platform to drive deep insights around GoDaddy’s business to help our customers succeed in theirs.\n\nResponsibilities\n\nInterface with our Business Analytics & data science teams, gathering requirements and delivering complete BI solutions.\nMentor junior engineers.\nModel data and metadata to support discovery, ad-hoc and pre-built reporting.\nDesign and implement data pipelines using Hadoop, spark, and AWS services such as S3, RDS, Kinesis, Glue, Redshift, & EMR\nPartner with security, privacy, and legal teams to deliver solutions that comply to GoDaddy security and privacy policies.\nOwn the design, development, and maintenance of datasets our BA teams will use to drive key business decisions.\nDevelop and promote best practices in data engineering, including scalability, reusability, maintainability, and usability.\nTune and ensure compute performance by optimizing queries, databases, files, tables, and processes.\nEnsure data & report SLAs are met.\nAnalyze and solve problems at their root, stepping back to understand the broader context.\nOwn continuous engineering operational excellence of the datasets that drive key business decisions.\nLearn and understand a broad range of GoDaddy’s data resources and know when, how, and which to use and which not to use.\nkeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.\nContinually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.\nTriage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.\n\n Qualifications\n\nBachelor’s degree in CS or related technical field.\n10+ years of experience in data architecture and business intelligence.\n3 + years of experience in developing solutions in distributed technologies such as Hadoop, hive and spark.\nExperience in delivering end to end solutions using AWS services – S3, RDS, Kinesis, Glue, Redshift, & EMR.\nExperience in programming using Python, Java or Scala\nExpert in data modeling, metadata management, and data quality.\nSQL performance tuning.\nStrong organizational and multitasking skills with ability to balance competing priorities.\nExcellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.\nAn ability to work in a fast-paced ambiguous environment where continuous innovation is occurring.\n\nJob Category: Information Technology\nJob Type: Contract\nJob Location: US","datePosted":"2026-09-04T09:19:48.348Z","dateModified":"2026-09-04T09:19:48.348Z","hiringOrganization":{"@type":"Organization","name":"Virtue Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"761ddf3ceaeff7d6474c28a7"},"url":"https://jobsearcher.com/jobs/761ddf3ceaeff7d6474c28a7"}}