{"schemaVersion":"jobsearcher.job.v1","id":"a12b55f73bc4d27b1d0d63b4","url":"https://jobsearcher.com/jobs/a12b55f73bc4d27b1d0d63b4","canonicalUrl":"https://jobsearcher.com/jobs/a12b55f73bc4d27b1d0d63b4","title":"Data Science / Data Engineering Support Engineer","description":"Job Title: Data Science / Data Engineering Support Engineer\nRole Type: 6 + months contract – good possibility of extensions and/or perm rollover\nLocation: Washington, DC (5 Days a week onsite)\nClearance Requirements: Must be able to obtain and maintain a Public Trust\n\nWe are seeking a Data Scientist / Data Engineer to support data science and engineering tools, platforms, and infrastructure. This is a technical support and troubleshooting role—not a software development or data science SME position. The ideal candidate understands how data science and engineering tools are used, can troubleshoot issues across the environment, and can work effectively with data, infrastructure, and engineering teams.\n\nKey Responsibilities\n\nSupport and troubleshoot data science, data engineering, and analytics tools and platforms.\nTroubleshoot data processing, analytical workflows, applications, and infrastructure issues.\nSupport Linux-based environments and assist with configuration, connectivity, performance, and environment-related issues.\nWork with data scientists, engineers, and infrastructure teams to identify and resolve technical issues.\nSupport tools such as Databricks, RStudio, and comparable data platforms; specific tool experience is transferable.\nApply working knowledge of data science and data engineering concepts to diagnose and resolve issues.\nAssist with data pipelines, processing workflows, and cloud-based data environments.\nDocument issues, troubleshooting steps, and resolutions.\nEscalate complex application or infrastructure issues when appropriate.\nQualifications\nBachelor's degree in Computer Science, Data Science, Engineering, IT, or related field.\n3+ years of experience supporting or working with data science, data engineering, analytics, or related technical environments.\nLinux experience required.\nWorking knowledge of data science/data engineering concepts and workflows.\nFamiliarity with R/RStudio, Databricks, or comparable tools.\nCloud experience (AWS or Azure) preferred.\nBasic knowledge of SQL, Python, or similar data technologies is helpful; extensive coding/programming is not required.\nStrong troubleshooting, analytical, and communication skills.\nAbility to understand technical documentation, logs, configurations, and system behavior.\nMust be authorized to work in the U.S. without future sponsorship.\nAbility to obtain and maintain Public Trust clearance.\n\nSystem One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\n#LI-CB5\nRef: #851-Rockville-S1","company":"Systemone","rawCompany":"systemone","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-10-08T13:45:50.852Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-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 Science / Data Engineering Support Engineer","description":"Job Title: Data Science / Data Engineering Support Engineer\nRole Type: 6 + months contract – good possibility of extensions and/or perm rollover\nLocation: Washington, DC (5 Days a week onsite)\nClearance Requirements: Must be able to obtain and maintain a Public Trust\n\nWe are seeking a Data Scientist / Data Engineer to support data science and engineering tools, platforms, and infrastructure. This is a technical support and troubleshooting role—not a software development or data science SME position. The ideal candidate understands how data science and engineering tools are used, can troubleshoot issues across the environment, and can work effectively with data, infrastructure, and engineering teams.\n\nKey Responsibilities\n\nSupport and troubleshoot data science, data engineering, and analytics tools and platforms.\nTroubleshoot data processing, analytical workflows, applications, and infrastructure issues.\nSupport Linux-based environments and assist with configuration, connectivity, performance, and environment-related issues.\nWork with data scientists, engineers, and infrastructure teams to identify and resolve technical issues.\nSupport tools such as Databricks, RStudio, and comparable data platforms; specific tool experience is transferable.\nApply working knowledge of data science and data engineering concepts to diagnose and resolve issues.\nAssist with data pipelines, processing workflows, and cloud-based data environments.\nDocument issues, troubleshooting steps, and resolutions.\nEscalate complex application or infrastructure issues when appropriate.\nQualifications\nBachelor's degree in Computer Science, Data Science, Engineering, IT, or related field.\n3+ years of experience supporting or working with data science, data engineering, analytics, or related technical environments.\nLinux experience required.\nWorking knowledge of data science/data engineering concepts and workflows.\nFamiliarity with R/RStudio, Databricks, or comparable tools.\nCloud experience (AWS or Azure) preferred.\nBasic knowledge of SQL, Python, or similar data technologies is helpful; extensive coding/programming is not required.\nStrong troubleshooting, analytical, and communication skills.\nAbility to understand technical documentation, logs, configurations, and system behavior.\nMust be authorized to work in the U.S. without future sponsorship.\nAbility to obtain and maintain Public Trust clearance.\n\nSystem One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\n#LI-CB5\nRef: #851-Rockville-S1","datePosted":"2026-10-08T13:45:50.852Z","dateModified":"2026-10-08T13:45:50.852Z","hiringOrganization":{"@type":"Organization","name":"Systemone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a12b55f73bc4d27b1d0d63b4"},"url":"https://jobsearcher.com/jobs/a12b55f73bc4d27b1d0d63b4"}}