{"schemaVersion":"jobsearcher.job.v1","id":"4df3b250cb3c1dff374b0e18","url":"https://jobsearcher.com/jobs/4df3b250cb3c1dff374b0e18","canonicalUrl":"https://jobsearcher.com/jobs/4df3b250cb3c1dff374b0e18","title":"Data Engineer","description":"Data EngineerLocation: Newark, DE and Pennington, NJ (We can only consider candidates who are able to attend an onsite interview at any of the specified locations.) - 3x each week onsite We have an exclusive requirement from Client, with interview slots available next Thursday and Friday. The process will begin with a virtual interview, followed by an onsite round.Interview Process - 2-rounds (Interviews would be early morning as they have a offshore lead joining 8-10AM ET)1st - 30 min. virtual screening w/VP2nd – 1 hr. in person with Architect and team leadsInterview Times:Thursday 12/4: 8:00 AM – 10:00 AM ETFriday 12/5: 8:00 AM – 10:00 AM ETRequired Skills:HadoopSparkPySparkSQL (Expertise)Background:Team works with in-house models and data stacksHandles 20-30 million transactions per day.Current initiative: Credit fraud detection.Responsibilities:Work primarily on the data side of AI projects.Understand data and develop ETL processes.Perform feature engineering and data extraction.Manage and process large volumes of data in a high-performance environment.Nice-to-Have Skills:Banking/financial services experience (preferred, not required)Python programmingExposure to Machine Learning project","company":"RIT Solutions","rawCompany":"rit solutions","city":"Pennington","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:03:52.138Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Data EngineerLocation: Newark, DE and Pennington, NJ (We can only consider candidates who are able to attend an onsite interview at any of the specified locations.) - 3x each week onsite We have an exclusive requirement from Client, with interview slots available next Thursday and Friday. The process will begin with a virtual interview, followed by an onsite round.Interview Process - 2-rounds (Interviews would be early morning as they have a offshore lead joining 8-10AM ET)1st - 30 min. virtual screening w/VP2nd – 1 hr. in person with Architect and team leadsInterview Times:Thursday 12/4: 8:00 AM – 10:00 AM ETFriday 12/5: 8:00 AM – 10:00 AM ETRequired Skills:HadoopSparkPySparkSQL (Expertise)Background:Team works with in-house models and data stacksHandles 20-30 million transactions per day.Current initiative: Credit fraud detection.Responsibilities:Work primarily on the data side of AI projects.Understand data and develop ETL processes.Perform feature engineering and data extraction.Manage and process large volumes of data in a high-performance environment.Nice-to-Have Skills:Banking/financial services experience (preferred, not required)Python programmingExposure to Machine Learning project","datePosted":"2026-06-26T03:03:52.138Z","dateModified":"2026-06-26T03:03:52.138Z","hiringOrganization":{"@type":"Organization","name":"RIT Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pennington","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4df3b250cb3c1dff374b0e18"},"url":"https://jobsearcher.com/jobs/4df3b250cb3c1dff374b0e18"}}