Data Engineer (DC location) 5-27-26

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; cybersecurity; program support; federal enterprise architecture; and compliance. In the commercial 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 Description This 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 Responsibilities Support application integration planning and implementation. Perform application data migration, data labeling and engineering. Ensure AI-ready data and taxonomies, and maintain data, ETL, and APIs. 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 Knowledge Knowledge and expertise supporting enterprise data engineering. Experience with various analytics platforms. Experience with cloud data services. Knowledge and expertise supporting multiple AI/ML initiatives. Experience with Azure Data Factory, SQL Server, APIs, Python, Power BI, ETL orchestration, and Dev/Sec/Ops practices. Knowledge of how to diagnose problems, think critically, organize information, and develop optimal solutions for complex issues. Education Bachelor’s Degree in Computer Science, Data Science, Engineering, or related field. Clearance 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. Experience Minimum of 5 to 8 years’ experience performing in a data engineering role. U.S. Citizen or Similar Must be a U.S. Citizen. Other Characteristics (e.g., Personal or Language) Excellent oral, written, and communication in English. Must be able to work in a team environment with personnel from other companies, government program management, and technical staff. Must work independently with minimal oversight and strong time management skills. Working Conditions, including location Hybrid – Remote / Washington, DC as required. Client duty hours Monday through Friday. Salary $135,000 to $165,000 annually #J-18808-Ljbffr Macalogic