{"schemaVersion":"jobsearcher.job.v1","id":"2e90f2c0d73192f45cf3e163","url":"https://jobsearcher.com/jobs/2e90f2c0d73192f45cf3e163","canonicalUrl":"https://jobsearcher.com/jobs/2e90f2c0d73192f45cf3e163","title":"Data Engineer - Remote Position","description":"About the CompanyICF is a global advisory and technology services provider that combines industry expertise with technology to help clients solve complex challenges, navigate change, and shape the future. Its Digital Modernization Division delivers integrated IT and management consulting solutions to federal clients, with expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation.About the RoleICF is seeking a Data Engineer to support the modernization of a large federal agency’s enterprise data and analytics ecosystem. The cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that help thousands of users turn data into actionable insights.The Data Engineer will build and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML applications. The role also involves data quality, pipeline documentation, lineage support, release readiness, and defect resolution to ensure data products are reliable, understandable, and approved for use.This position is contingent upon a contract award. Although it is not an immediate opening, ICF is actively conducting interviews and extending offers in anticipation of the award.Key ResponsibilitiesBuild and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use cases.Implement pipeline documentation, data lineage support, release-readiness evidence, data quality checks, and defect resolution.Work with data owners, governance personnel, and customer-facing teams to ensure data products are reliable, understandable, and ready for approved use.Apply ETL/ELT processes, SQL, Python, Databricks, Azure Data Factory or equivalent orchestration tools, semantic views, data modeling, quality checks, and documentation.Collaborate with product, engineering, security, governance, quality, and customer-facing stakeholders to support delivery requirements.Document work products, decisions, risks, and delivery evidence to maintain traceability and support continuous improvement.Develop and maintain cloud-based data pipelines and analytical data products that support enterprise data modernization.Implement data quality controls, validation checks, exception handling, automated testing, and production release-readiness processes.Maintain metadata, lineage documentation, pipeline documentation, operational runbooks, and technical design artifacts.Support data governance, discoverability, and trusted data assets through metadata management solutions and governance controls.Collaborate with data owners, product owners, governance teams, data scientists, AI engineers, architects, and customer stakeholders to deliver production-ready data products.Required QualificationsU.S. citizenship is required due to federal contract requirements.Must reside in the United States, be authorized to work in the United States, and perform all work within the United States.Must have lived in the United States for three full years out of the last five years.Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or a related field; alternatively, a high school diploma with four additional years of relevant experience may be accepted in place of a bachelor’s degree.At least three years of relevant experience aligned with the responsibilities of the role.A master’s degree may substitute for two years of relevant experience.Strong analytical, problem-solving, and decision-making skills.Excellent written and verbal communication skills, with the ability to work effectively with technical and non-technical audiences.Strong organizational skills, attention to detail, and the ability to prioritize and manage multiple responsibilities.A collaborative approach with a commitment to quality, accountability, and continuous improvement.Preferred QualificationsExperience designing, building, and maintaining modern cloud-based data pipelines, data products, and analytical data platforms.Strong experience with Databricks, Delta Lake, Apache Spark, SQL, and Python for large-scale data processing and transformation.Experience implementing ETL/ELT pipelines using Databricks Workflows, Azure Data Factory, Spark, notebooks, orchestration frameworks, and modern DataOps practices.Experience designing and implementing Lakehouse architectures, including bronze, silver, and gold layers, optimized storage patterns, and scalable analytical data structures.Experience developing semantic views, conformed dimensions, curated data products, and consumption-ready datasets for analytics, reporting, self-service business intelligence, and AI/ML workloads.Experience supporting enterprise data warehouse modernization, migration, and cloud transformation initiatives involving legacy reporting and analytics environments.Experience implementing and maintaining data quality controls, validation checks, exception handling, automated testing, and release-readiness processes in production data pipelines.Experience maintaining metadata, data lineage, pipeline documentation, operational runbooks, and technical design artifacts.Experience with Unity Catalog, metadata management solutions, and governance controls for discoverable, trusted, and governed data assets.Experience supporting Power BI, enterprise reporting platforms, semantic models, and analytical consumption layers.Experience designing data models for machine learning, predictive analytics, data science, natural language processing (NLP), and generative AI use cases.Experience supporting MLOps and AI/ML workflows, including feature engineering, training-data preparation, model-serving support, and data product lifecycle management.Experience implementing DataOps practices, including automated deployments, CI/CD integration, observability, monitoring, defect resolution, and operational telemetry.Familiarity with cloud-native data services such as Azure Data Factory, Azure Machine Learning, Azure storage services, Azure Event Hubs, and comparable technologies.Experience supporting federal government, healthcare, or other highly regulated environments.Experience working in Agile, DataOps, DevSecOps, or cross-functional delivery teams.Work Arrangement and LocationRemote position within the United States.Strong preference for candidates residing in the Washington, DC metropolitan area.Occasional onsite meetings at the client site in Washington, DC.ICF monitors employee work locations, blocks access from foreign locations and foreign IP addresses, and prohibits personal VPN connections.Office designation: Nationwide Remote Office (US99).Salary and CompensationAnnual pay range: $81,499 to $138,549 for full-time employment.Final compensation may depend on relevant experience, skills, certifications, competencies, geographic location, education, and applicable contract requirements.Equal Employment OpportunityICF is an equal opportunity employer committed to creating a workplace where employees can contribute their expertise, collaborate, and pursue personal and professional goals. Qualified applicants with arrest and conviction records will be considered for employment.Reasonable accommodations are available throughout the application and employment process for individuals with disabilities, disabled veterans, and individuals with sincerely held religious beliefs. Applicants who need accommodations for disability or religious purposes during the application process should contact candidateaccommodation@icf.com. Accommodation-related information will be kept confidential and used only as needed to provide reasonable accommodations.Candidate AI Usage PolicyICF does not permit candidates to use artificial intelligence tools to generate or assist with interview responses, whether interviews take place in person or virtually. This policy is intended to maintain the integrity and authenticity of the interview process.Candidates who require an accommodation involving AI use should contact candidateaccommodation@icf.com in advance to discuss their needs.","company":"Torentify","rawCompany":"torentify","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-10-30T07:48:56.822Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Remote Position","description":"About the CompanyICF is a global advisory and technology services provider that combines industry expertise with technology to help clients solve complex challenges, navigate change, and shape the future. Its Digital Modernization Division delivers integrated IT and management consulting solutions to federal clients, with expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation.About the RoleICF is seeking a Data Engineer to support the modernization of a large federal agency’s enterprise data and analytics ecosystem. The cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that help thousands of users turn data into actionable insights.The Data Engineer will build and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML applications. The role also involves data quality, pipeline documentation, lineage support, release readiness, and defect resolution to ensure data products are reliable, understandable, and approved for use.This position is contingent upon a contract award. Although it is not an immediate opening, ICF is actively conducting interviews and extending offers in anticipation of the award.Key ResponsibilitiesBuild and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use cases.Implement pipeline documentation, data lineage support, release-readiness evidence, data quality checks, and defect resolution.Work with data owners, governance personnel, and customer-facing teams to ensure data products are reliable, understandable, and ready for approved use.Apply ETL/ELT processes, SQL, Python, Databricks, Azure Data Factory or equivalent orchestration tools, semantic views, data modeling, quality checks, and documentation.Collaborate with product, engineering, security, governance, quality, and customer-facing stakeholders to support delivery requirements.Document work products, decisions, risks, and delivery evidence to maintain traceability and support continuous improvement.Develop and maintain cloud-based data pipelines and analytical data products that support enterprise data modernization.Implement data quality controls, validation checks, exception handling, automated testing, and production release-readiness processes.Maintain metadata, lineage documentation, pipeline documentation, operational runbooks, and technical design artifacts.Support data governance, discoverability, and trusted data assets through metadata management solutions and governance controls.Collaborate with data owners, product owners, governance teams, data scientists, AI engineers, architects, and customer stakeholders to deliver production-ready data products.Required QualificationsU.S. citizenship is required due to federal contract requirements.Must reside in the United States, be authorized to work in the United States, and perform all work within the United States.Must have lived in the United States for three full years out of the last five years.Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or a related field; alternatively, a high school diploma with four additional years of relevant experience may be accepted in place of a bachelor’s degree.At least three years of relevant experience aligned with the responsibilities of the role.A master’s degree may substitute for two years of relevant experience.Strong analytical, problem-solving, and decision-making skills.Excellent written and verbal communication skills, with the ability to work effectively with technical and non-technical audiences.Strong organizational skills, attention to detail, and the ability to prioritize and manage multiple responsibilities.A collaborative approach with a commitment to quality, accountability, and continuous improvement.Preferred QualificationsExperience designing, building, and maintaining modern cloud-based data pipelines, data products, and analytical data platforms.Strong experience with Databricks, Delta Lake, Apache Spark, SQL, and Python for large-scale data processing and transformation.Experience implementing ETL/ELT pipelines using Databricks Workflows, Azure Data Factory, Spark, notebooks, orchestration frameworks, and modern DataOps practices.Experience designing and implementing Lakehouse architectures, including bronze, silver, and gold layers, optimized storage patterns, and scalable analytical data structures.Experience developing semantic views, conformed dimensions, curated data products, and consumption-ready datasets for analytics, reporting, self-service business intelligence, and AI/ML workloads.Experience supporting enterprise data warehouse modernization, migration, and cloud transformation initiatives involving legacy reporting and analytics environments.Experience implementing and maintaining data quality controls, validation checks, exception handling, automated testing, and release-readiness processes in production data pipelines.Experience maintaining metadata, data lineage, pipeline documentation, operational runbooks, and technical design artifacts.Experience with Unity Catalog, metadata management solutions, and governance controls for discoverable, trusted, and governed data assets.Experience supporting Power BI, enterprise reporting platforms, semantic models, and analytical consumption layers.Experience designing data models for machine learning, predictive analytics, data science, natural language processing (NLP), and generative AI use cases.Experience supporting MLOps and AI/ML workflows, including feature engineering, training-data preparation, model-serving support, and data product lifecycle management.Experience implementing DataOps practices, including automated deployments, CI/CD integration, observability, monitoring, defect resolution, and operational telemetry.Familiarity with cloud-native data services such as Azure Data Factory, Azure Machine Learning, Azure storage services, Azure Event Hubs, and comparable technologies.Experience supporting federal government, healthcare, or other highly regulated environments.Experience working in Agile, DataOps, DevSecOps, or cross-functional delivery teams.Work Arrangement and LocationRemote position within the United States.Strong preference for candidates residing in the Washington, DC metropolitan area.Occasional onsite meetings at the client site in Washington, DC.ICF monitors employee work locations, blocks access from foreign locations and foreign IP addresses, and prohibits personal VPN connections.Office designation: Nationwide Remote Office (US99).Salary and CompensationAnnual pay range: $81,499 to $138,549 for full-time employment.Final compensation may depend on relevant experience, skills, certifications, competencies, geographic location, education, and applicable contract requirements.Equal Employment OpportunityICF is an equal opportunity employer committed to creating a workplace where employees can contribute their expertise, collaborate, and pursue personal and professional goals. Qualified applicants with arrest and conviction records will be considered for employment.Reasonable accommodations are available throughout the application and employment process for individuals with disabilities, disabled veterans, and individuals with sincerely held religious beliefs. Applicants who need accommodations for disability or religious purposes during the application process should contact candidateaccommodation@icf.com. Accommodation-related information will be kept confidential and used only as needed to provide reasonable accommodations.Candidate AI Usage PolicyICF does not permit candidates to use artificial intelligence tools to generate or assist with interview responses, whether interviews take place in person or virtually. This policy is intended to maintain the integrity and authenticity of the interview process.Candidates who require an accommodation involving AI use should contact candidateaccommodation@icf.com in advance to discuss their needs.","datePosted":"2026-10-30T07:48:56.822Z","dateModified":"2026-10-30T07:48:56.822Z","hiringOrganization":{"@type":"Organization","name":"Torentify","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e90f2c0d73192f45cf3e163"},"url":"https://jobsearcher.com/jobs/2e90f2c0d73192f45cf3e163"}}