{"schemaVersion":"jobsearcher.job.v1","id":"1469bdd7bb60d6c68ef5ecca","url":"https://jobsearcher.com/jobs/1469bdd7bb60d6c68ef5ecca","canonicalUrl":"https://jobsearcher.com/jobs/1469bdd7bb60d6c68ef5ecca","title":"Senior Data Engineer / Data Architect (AWS, Python, Telecom)","description":"Senior Data EngineerWe are seeking a highly experienced Senior Data Engineer with strong data architecture expertise to design, develop, and optimize enterprise-scale data platforms. The ideal candidate will have extensive hands-on experience with modern cloud technologies, programming frameworks, DevOps practices, and a strong background in the Telecom domain.Required Skills:10+ years of overall IT experience (15+ years preferred)Strong hands-on experience with PythonProficiency in C#, ReactJS, Node.js, and AngularExtensive experience with AWS Core ServicesHands-on experience with SplunkMandatory: Experience with Itential PronghornStrong knowledge of Kubernetes (K8S) and DockerExperience building and managing CI/CD pipelinesStrong understanding of data engineering and data architecture principlesProven experience working in the Telecommunications industryKey Responsibilities:Design and implement scalable cloud-based data engineering solutions.Develop and optimize data pipelines using modern programming languages and AWS services.Build and maintain CI/CD pipelines for efficient application deployment.Deploy and manage containerized applications using Docker and Kubernetes.Utilize Splunk for monitoring, troubleshooting, and log analysis.Integrate and automate network workflows using Itential Pronghorn.Collaborate with cross-functional teams to deliver high-quality data solutions.Provide architectural guidance and technical leadership for enterprise data initiatives.Preferred Qualifications:Strong problem-solving and analytical skills.Experience leading technical design discussions and mentoring engineering teams.Excellent communication and stakeholder management skills.Experience working in Agile development environments.","company":"eTeam","rawCompany":"eteam","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:02:07.169Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer / Data Architect (AWS, Python, Telecom)","description":"Senior Data EngineerWe are seeking a highly experienced Senior Data Engineer with strong data architecture expertise to design, develop, and optimize enterprise-scale data platforms. The ideal candidate will have extensive hands-on experience with modern cloud technologies, programming frameworks, DevOps practices, and a strong background in the Telecom domain.Required Skills:10+ years of overall IT experience (15+ years preferred)Strong hands-on experience with PythonProficiency in C#, ReactJS, Node.js, and AngularExtensive experience with AWS Core ServicesHands-on experience with SplunkMandatory: Experience with Itential PronghornStrong knowledge of Kubernetes (K8S) and DockerExperience building and managing CI/CD pipelinesStrong understanding of data engineering and data architecture principlesProven experience working in the Telecommunications industryKey Responsibilities:Design and implement scalable cloud-based data engineering solutions.Develop and optimize data pipelines using modern programming languages and AWS services.Build and maintain CI/CD pipelines for efficient application deployment.Deploy and manage containerized applications using Docker and Kubernetes.Utilize Splunk for monitoring, troubleshooting, and log analysis.Integrate and automate network workflows using Itential Pronghorn.Collaborate with cross-functional teams to deliver high-quality data solutions.Provide architectural guidance and technical leadership for enterprise data initiatives.Preferred Qualifications:Strong problem-solving and analytical skills.Experience leading technical design discussions and mentoring engineering teams.Excellent communication and stakeholder management skills.Experience working in Agile development environments.","datePosted":"2026-08-25T04:02:07.169Z","dateModified":"2026-08-25T04:02:07.169Z","hiringOrganization":{"@type":"Organization","name":"eTeam","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1469bdd7bb60d6c68ef5ecca"},"url":"https://jobsearcher.com/jobs/1469bdd7bb60d6c68ef5ecca"}}