{"schemaVersion":"jobsearcher.job.v1","id":"9d1c97564e4aa5cfd2679709","url":"https://jobsearcher.com/jobs/9d1c97564e4aa5cfd2679709","canonicalUrl":"https://jobsearcher.com/jobs/9d1c97564e4aa5cfd2679709","title":"Data Engineer","description":"Company Description\n\nTredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.\n\nJob Description\n\nWe are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.\nTo ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.\nEssential Responsibilities\nDesign, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)\nEvaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights\nDesign, develop, and implement data processing pipelines at scale\nPresent programming documentation and design to team members and convey complex information in a clear and concise manner.\nExtract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.\nWrite and refine code to ensure performance and reliability of data extraction and processing.\nCommunicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers\nParticipate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.\nPartner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.\nCollaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.\nSome of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.\n\nQualifications\n\nBachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.\nAt least 3 years of proven experience as a Data Engineer.\nExpert proficiency in Python, C++, Java, R, and SQL.\nFamiliarity with Hadoop or suitable equivalent.\nExcellent analytical and problem-solving skills.\nA knack for independent and group work.\nScrupulous approach to duties.\nCapacity to successfully manage a pipeline of duties with minimal supervision.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","company":"Tredenceanalytic","rawCompany":"tredenceanalytic","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-09T13:37:24.095Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Company Description\n\nTredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.\n\nJob Description\n\nWe are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.\nTo ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.\nEssential Responsibilities\nDesign, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)\nEvaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights\nDesign, develop, and implement data processing pipelines at scale\nPresent programming documentation and design to team members and convey complex information in a clear and concise manner.\nExtract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.\nWrite and refine code to ensure performance and reliability of data extraction and processing.\nCommunicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers\nParticipate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.\nPartner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.\nCollaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.\nSome of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.\n\nQualifications\n\nBachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.\nAt least 3 years of proven experience as a Data Engineer.\nExpert proficiency in Python, C++, Java, R, and SQL.\nFamiliarity with Hadoop or suitable equivalent.\nExcellent analytical and problem-solving skills.\nA knack for independent and group work.\nScrupulous approach to duties.\nCapacity to successfully manage a pipeline of duties with minimal supervision.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","datePosted":"2026-08-09T13:37:24.095Z","dateModified":"2026-08-09T13:37:24.095Z","hiringOrganization":{"@type":"Organization","name":"Tredenceanalytic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9d1c97564e4aa5cfd2679709"},"url":"https://jobsearcher.com/jobs/9d1c97564e4aa5cfd2679709"}}