{"schemaVersion":"jobsearcher.job.v1","id":"393d3bd55ae53cbbdbf49839","url":"https://jobsearcher.com/jobs/393d3bd55ae53cbbdbf49839","canonicalUrl":"https://jobsearcher.com/jobs/393d3bd55ae53cbbdbf49839","title":"Data Engineer : Mastercard","description":"Data EngineerInterview: Video Visa: USC, GC, GC EAD, H4, L2 This is hybrid from day-1. Onsite Day 1 - In office three days per week and in '24 they will move to four. Currently they are doing M/T/W in office, Th/F remote.Description:Experience dealing with large volumes of data, from various sources, both structured and unstructured.Ability to triage and talk through performance / scaling issues of dealing with data at scale.Good understanding of how data will be read (file formats, partitioning, bucketing).Extensive experience writing testable jobs using Spark (or equivalent) framework.Programming & Scripting Languages: Java EE, Scala, Spark, SQL, Bash.Web services & API standards: REST, OAuth, JSON.Software Architectures (micro-services, event driven, peer-to-peer).Application Security.Asynchronous Pub-Sub and Point to Point Messaging Systems.Advantage, if you have experience working in ETL and Hadoop Ecosystem: HBase, Solr, Spark Streaming, Kudu, Spring Boot, Spring Context, Spring Data Rest, General Cloudera experience.Streaming within the Hadoop ecosystem is a plus.","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:36:15.299Z","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":"522110","title":"Commercial Banking","slug":"commercial-banking"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer : Mastercard","description":"Data EngineerInterview: Video Visa: USC, GC, GC EAD, H4, L2 This is hybrid from day-1. Onsite Day 1 - In office three days per week and in '24 they will move to four. Currently they are doing M/T/W in office, Th/F remote.Description:Experience dealing with large volumes of data, from various sources, both structured and unstructured.Ability to triage and talk through performance / scaling issues of dealing with data at scale.Good understanding of how data will be read (file formats, partitioning, bucketing).Extensive experience writing testable jobs using Spark (or equivalent) framework.Programming & Scripting Languages: Java EE, Scala, Spark, SQL, Bash.Web services & API standards: REST, OAuth, JSON.Software Architectures (micro-services, event driven, peer-to-peer).Application Security.Asynchronous Pub-Sub and Point to Point Messaging Systems.Advantage, if you have experience working in ETL and Hadoop Ecosystem: HBase, Solr, Spark Streaming, Kudu, Spring Boot, Spring Context, Spring Data Rest, General Cloudera experience.Streaming within the Hadoop ecosystem is a plus.","datePosted":"2026-08-25T04:36:15.299Z","dateModified":"2026-08-25T04:36:15.299Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"393d3bd55ae53cbbdbf49839"},"url":"https://jobsearcher.com/jobs/393d3bd55ae53cbbdbf49839"}}