{"schemaVersion":"jobsearcher.job.v1","id":"daced094a7b847e4a209c948","url":"https://jobsearcher.com/jobs/daced094a7b847e4a209c948","canonicalUrl":"https://jobsearcher.com/jobs/daced094a7b847e4a209c948","title":"Data Engineer","description":"OverviewExperience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.As a Data Engineer within ICF’s Digital Modernization team, you will build and maintain scalable data pipelines, models, and semantic structures for analytics and AI/ML use cases in a federal cloud platform. You will ensure data products are reliable, well-documented, and ready for approved use, partnering with governance, product, and customer-facing teams. You’ll apply modern data tooling and DataOps practices to enable enterprise-wide data and AI capabilities at scale. This is a remote role with potential on-site collaboration in Washington, DC, contributing to large-scale data modernization initiatives.ResponsibilitiesBuild and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use casesImplement pipeline documentation, lineage support, release-readiness evidence, quality checks, and defect resolutionCollaborate with data owners, governance personnel, and customer-facing teams to ensure data products are understandable, reliable, and ready for approved useApply ETL/ELT, SQL/Python, Databricks, Azure Data Factory or equivalent orchestration, semantic views, data modeling, quality checks, and documentation to support role deliveryCollaborate with product, engineering, security, governance, quality, and customer-facing stakeholders as requiredDocument work products, decisions, risks, and delivery evidence to support traceability and continuous improvementKey requirementsU.S. Citizenship required due to federal contractAuthorized to work in the U.S. and reside in the U.S. for all workResidence in the U.S. xaygatp for three out of the last five yearsBachelor's degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or related field, or a high school diploma with four additional years of relevant experienceMinimum 3 years of relevant experienceMaster’s degree may substitute for two years of experienceAnalytical thinkingStrong written and verbal communicationOrganizational skills and attention to detailDatabricksDelta LakeApache Spark","company":"ICF","rawCompany":"icf","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-27T01:50:49.782Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"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":"OverviewExperience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.As a Data Engineer within ICF’s Digital Modernization team, you will build and maintain scalable data pipelines, models, and semantic structures for analytics and AI/ML use cases in a federal cloud platform. You will ensure data products are reliable, well-documented, and ready for approved use, partnering with governance, product, and customer-facing teams. You’ll apply modern data tooling and DataOps practices to enable enterprise-wide data and AI capabilities at scale. This is a remote role with potential on-site collaboration in Washington, DC, contributing to large-scale data modernization initiatives.ResponsibilitiesBuild and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use casesImplement pipeline documentation, lineage support, release-readiness evidence, quality checks, and defect resolutionCollaborate with data owners, governance personnel, and customer-facing teams to ensure data products are understandable, reliable, and ready for approved useApply ETL/ELT, SQL/Python, Databricks, Azure Data Factory or equivalent orchestration, semantic views, data modeling, quality checks, and documentation to support role deliveryCollaborate with product, engineering, security, governance, quality, and customer-facing stakeholders as requiredDocument work products, decisions, risks, and delivery evidence to support traceability and continuous improvementKey requirementsU.S. Citizenship required due to federal contractAuthorized to work in the U.S. and reside in the U.S. for all workResidence in the U.S. xaygatp for three out of the last five yearsBachelor's degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or related field, or a high school diploma with four additional years of relevant experienceMinimum 3 years of relevant experienceMaster’s degree may substitute for two years of experienceAnalytical thinkingStrong written and verbal communicationOrganizational skills and attention to detailDatabricksDelta LakeApache Spark","datePosted":"2026-10-27T01:50:49.782Z","dateModified":"2026-10-27T01:50:49.782Z","hiringOrganization":{"@type":"Organization","name":"ICF","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"daced094a7b847e4a209c948"},"url":"https://jobsearcher.com/jobs/daced094a7b847e4a209c948"}}