{"schemaVersion":"jobsearcher.job.v1","id":"e15a2f40cfaad999500bb954","url":"https://jobsearcher.com/jobs/e15a2f40cfaad999500bb954","canonicalUrl":"https://jobsearcher.com/jobs/e15a2f40cfaad999500bb954","title":"Data Engineer","description":"Job Title: Data EngineerW2 Pay Rate: $58/hr (H1b $53/HR)Duration: 12 monthsLocation: Charlotte/NC, Brevard/NCAbout the RoleWe are seeking an experienced Data Engineer to join the Home Lending Data & Insights team. In this role, you'll build, modernize, and optimize enterprise data pipelines while supporting cloud migration initiatives from legacy platforms to Google Cloud Platform. You'll collaborate with cross-functional teams to deliver reliable, scalable, and secure data solutions that power critical business reporting and analytics.Key ResponsibilitiesDesign and develop scalable batch and near-real-time data pipelines.Build ETL solutions using Ab Initio, Python, PySpark, PL/SQL, and SQL.Support migration from Teradata and Ab Initio to Google Cloud BigQuery.Develop and optimize BigQuery data models and SQL performance.Implement workflow orchestration using Airflow (Google Cloud Composer).Ensure high data quality through governance, monitoring, and operational excellence.Collaborate with Product Owners, Architects, and Engineering teams.Participate in code reviews and leverage AI-assisted development tools while following secure coding practices.RequirementsBachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience.4+ years of Data Engineering experience.Strong experience with Ab Initio, Python, PySpark, PL/SQL, and SQL.Experience with Teradata, Oracle, and BigQuery.Knowledge of ETL, Data Warehousing, and Data Modeling.Experience with Airflow/Composer, CI/CD, and Unix Shell Scripting.Strong analytical, troubleshooting, and performance tuning skills.Nice to Have Skills & ExperienceGoogle Cloud Platform (GCP)DataplexInformatica Data QualityFinancial Services domainAI-assisted coding tools (GitHub Copilot, Devin)Large enterprise data modernization experience","company":"Infosoft","rawCompany":"infosoft","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-11T11:28:00.552Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Job Title: Data EngineerW2 Pay Rate: $58/hr (H1b $53/HR)Duration: 12 monthsLocation: Charlotte/NC, Brevard/NCAbout the RoleWe are seeking an experienced Data Engineer to join the Home Lending Data & Insights team. In this role, you'll build, modernize, and optimize enterprise data pipelines while supporting cloud migration initiatives from legacy platforms to Google Cloud Platform. You'll collaborate with cross-functional teams to deliver reliable, scalable, and secure data solutions that power critical business reporting and analytics.Key ResponsibilitiesDesign and develop scalable batch and near-real-time data pipelines.Build ETL solutions using Ab Initio, Python, PySpark, PL/SQL, and SQL.Support migration from Teradata and Ab Initio to Google Cloud BigQuery.Develop and optimize BigQuery data models and SQL performance.Implement workflow orchestration using Airflow (Google Cloud Composer).Ensure high data quality through governance, monitoring, and operational excellence.Collaborate with Product Owners, Architects, and Engineering teams.Participate in code reviews and leverage AI-assisted development tools while following secure coding practices.RequirementsBachelor's degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience.4+ years of Data Engineering experience.Strong experience with Ab Initio, Python, PySpark, PL/SQL, and SQL.Experience with Teradata, Oracle, and BigQuery.Knowledge of ETL, Data Warehousing, and Data Modeling.Experience with Airflow/Composer, CI/CD, and Unix Shell Scripting.Strong analytical, troubleshooting, and performance tuning skills.Nice to Have Skills & ExperienceGoogle Cloud Platform (GCP)DataplexInformatica Data QualityFinancial Services domainAI-assisted coding tools (GitHub Copilot, Devin)Large enterprise data modernization experience","datePosted":"2026-08-11T11:28:00.552Z","dateModified":"2026-08-11T11:28:00.552Z","hiringOrganization":{"@type":"Organization","name":"Infosoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e15a2f40cfaad999500bb954"},"url":"https://jobsearcher.com/jobs/e15a2f40cfaad999500bb954"}}