{"schemaVersion":"jobsearcher.job.v1","id":"bac7c45161c1d6aaf2b4ccfb","url":"https://jobsearcher.com/jobs/bac7c45161c1d6aaf2b4ccfb","canonicalUrl":"https://jobsearcher.com/jobs/bac7c45161c1d6aaf2b4ccfb","title":"Data Modeler","description":"BT-313- Data ModelerSkill Level- Subject Matter ExpertLocation: McLean, VA (fully on-site, no remote option)Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**Required SkillsDemonstrated experience with ECL and HPCC (5 years minimum in ECL) Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this organization across a spectrum of spaces to include applying analytic judgement to data presented. Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound relevant analytic reporting/products.Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of data. These languages complement ECL.Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Tier 1/2 support (incident response, troubleshooting, user support)System monitoring (message flow, failures, performance issues)Experience with high-volume data environments (structured & unstructured)Strong diagnostic and troubleshooting skills across applications/systemsExperience working within SOP-driven environments (documentation, updates, compliance)Ability to support users directly (tickets, service desk interactions)Familiarity with system administration and application sustainmentSupporting system availability in critical operations","company":"Bespoke Technologies","rawCompany":"bespoke technologies","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-05-03T02:38:04.209Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Modeler","description":"BT-313- Data ModelerSkill Level- Subject Matter ExpertLocation: McLean, VA (fully on-site, no remote option)Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**Required SkillsDemonstrated experience with ECL and HPCC (5 years minimum in ECL) Demonstrated experience using analytic techniques and tools performing technical targeting analytic support for this organization across a spectrum of spaces to include applying analytic judgement to data presented. Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate sound relevant analytic reporting/products.Demonstrated experience using computer languages (e.g., Python, C, SQL) to perform large scale parallel processing of data. These languages complement ECL.Demonstrated experience performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. 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