{"schemaVersion":"jobsearcher.job.v1","id":"0eb0a3b29aefe4c67f7ce295","url":"https://jobsearcher.com/jobs/0eb0a3b29aefe4c67f7ce295","canonicalUrl":"https://jobsearcher.com/jobs/0eb0a3b29aefe4c67f7ce295","title":"Data Engineer (DC location) 5-27-26","description":"Company Overview:Macalogic is a company with broad competencies based on over a decade of experience working in the federal arena. We are a Woman-Owned SBA-certified Small Business and an Economically Disadvantaged Woman-Owned Small Business (EDWOSB). We provide business consulting services to government clients in five primary areas: software development and IT-related consulting; cyber security, program support; federal enterprise architecture; and compliance. In the commercial, Business-to-Business (B2B) arena, we provide management support services, including hardware, software, and network installation, troubleshooting, and management.Our core values of “Building Trust”, “Showing Up”, “Owning It”, “Getting Better”, and “Serving Others” are central to everything we do at Macalogic. We offer a generous benefits package and compensation commensurate with your experience and skill set.General DescriptionThis position provides data engineering support to the Department of Commerce (DOC), International Trade Administration (ITA). The successful candidate will design, maintain, and optimize enterprise data pipelines, ETL workflows, APIs, and AI-ready cloud data services supporting ITA AI initiatives. This includes supporting/performing requirements analysis, planning, design, deployment and ongoing operations management and technical support all while employing SAFe agile practices.Duties And ResponsibilitiesThe successful candidate will be responsible for supporting application integration planning and implementation, application data migration, application data labeling and engineering, ensuring AI-ready data and taxonomies, and maintaining data, ETL, and APIs. Other specifics include:Develop and maintain ETL workflows and APIs Support AI-ready data preparation and governance Manage cloud-based data ingestion and transformation pipelines Support analytics, machine learning, and AI initiatives Implement scalable and secure data architectures Monitor and optimize data workloads and automation Specialized KnowledgeThe successful candidate will have knowledge in the following areas:Knowledge and expertise supporting enterprise data engineeringExperience with various analytics platformsExperience with cloud data servicesKnowledge and expertise supporting multiple AI/ML initiativesExperience with Azure Data Factory, SQL Server, APIs, Python, Power BI, ETL orchestration, and Dev/Sec/Ops practicesKnowledge of how to diagnose problems, think critically, organize information, and develop optimal solutions for complex issuesEducationBachelor’s Degree in Computer Science, Data Science, Engineering, or related field.Professional CertificationsRequiredClearance Required None required but Azure Data Engineer Associate preferred.Must have completed or be able to complete a Tier 1 National Agency Check and be successfully adjudicated to occupy a Public Trust position.ExperienceMinimum of 5 to 8 years’ experience performing in a data engineering role.U.S. Citizen or SimilarMust be a U.S. CitizenOther Characteristics (e.g., Personal Or Language)Excellent oral, written, and communication in English. Must be able to work in a team environment with members that include personnel from other companies, Government program management and administrative personnel, and technical staff members. Must be able to perform with minimal management oversight and have strong time management skills.Working conditions, including locationHybrid - Remote / Washington, DC as required.Client duty hours are Monday through Friday.Salary$135 to 165k AnnuallyPowered by JazzHRxqWzI2n3iV","company":"Macalogic","rawCompany":"macalogic","city":"Baltimore","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-05-29T11:41:03.221Z","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":"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 (DC location) 5-27-26","description":"Company Overview:Macalogic is a company with broad competencies based on over a decade of experience working in the federal arena. We are a Woman-Owned SBA-certified Small Business and an Economically Disadvantaged Woman-Owned Small Business (EDWOSB). We provide business consulting services to government clients in five primary areas: software development and IT-related consulting; cyber security, program support; federal enterprise architecture; and compliance. In the commercial, Business-to-Business (B2B) arena, we provide management support services, including hardware, software, and network installation, troubleshooting, and management.Our core values of “Building Trust”, “Showing Up”, “Owning It”, “Getting Better”, and “Serving Others” are central to everything we do at Macalogic. We offer a generous benefits package and compensation commensurate with your experience and skill set.General DescriptionThis position provides data engineering support to the Department of Commerce (DOC), International Trade Administration (ITA). The successful candidate will design, maintain, and optimize enterprise data pipelines, ETL workflows, APIs, and AI-ready cloud data services supporting ITA AI initiatives. This includes supporting/performing requirements analysis, planning, design, deployment and ongoing operations management and technical support all while employing SAFe agile practices.Duties And ResponsibilitiesThe successful candidate will be responsible for supporting application integration planning and implementation, application data migration, application data labeling and engineering, ensuring AI-ready data and taxonomies, and maintaining data, ETL, and APIs. Other specifics include:Develop and maintain ETL workflows and APIs Support AI-ready data preparation and governance Manage cloud-based data ingestion and transformation pipelines Support analytics, machine learning, and AI initiatives Implement scalable and secure data architectures Monitor and optimize data workloads and automation Specialized KnowledgeThe successful candidate will have knowledge in the following areas:Knowledge and expertise supporting enterprise data engineeringExperience with various analytics platformsExperience with cloud data servicesKnowledge and expertise supporting multiple AI/ML initiativesExperience with Azure Data Factory, SQL Server, APIs, Python, Power BI, ETL orchestration, and Dev/Sec/Ops practicesKnowledge of how to diagnose problems, think critically, organize information, and develop optimal solutions for complex issuesEducationBachelor’s Degree in Computer Science, Data Science, Engineering, or related field.Professional CertificationsRequiredClearance Required None required but Azure Data Engineer Associate preferred.Must have completed or be able to complete a Tier 1 National Agency Check and be successfully adjudicated to occupy a Public Trust position.ExperienceMinimum of 5 to 8 years’ experience performing in a data engineering role.U.S. Citizen or SimilarMust be a U.S. CitizenOther Characteristics (e.g., Personal Or Language)Excellent oral, written, and communication in English. Must be able to work in a team environment with members that include personnel from other companies, Government program management and administrative personnel, and technical staff members. Must be able to perform with minimal management oversight and have strong time management skills.Working conditions, including locationHybrid - Remote / Washington, DC as required.Client duty hours are Monday through Friday.Salary$135 to 165k AnnuallyPowered by JazzHRxqWzI2n3iV","datePosted":"2026-05-29T11:41:03.221Z","dateModified":"2026-05-29T11:41:03.221Z","hiringOrganization":{"@type":"Organization","name":"Macalogic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Baltimore","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0eb0a3b29aefe4c67f7ce295"},"url":"https://jobsearcher.com/jobs/0eb0a3b29aefe4c67f7ce295"}}