Data Engineer

Project Summary: This contract supports the Joint Staff Strategy, Plans, and Policy Directorate (J5), through its Deputy Directorate for Counter Threats and International Cooperation (DDCTIC), in meeting the minimum statutory requirements of Public Law 115-68, the Women, Peace, and Security (WPS) Act of 2017. The contract delivers WPS training and education for the Joint Force, sociocultural analysis, and data collection for annual statutory reporting. The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building and maintaining the data pipelines, repositories, and AI-enabled tools that allow analysts and senior decision-makers across the directorate to access mission-critical information. This position is full-time and is contingent upon award. Position Summary: The Data Engineer designs, builds, and maintains the data infrastructure supporting J5 WPS statutory reporting and analytical functions. The role is responsible for identifying and integrating mission-critical data sources from across the DoW and interagency partners, managing curated datasets within the J5 Data Catalog, and developing and maintaining WPS AI agents. The Data Engineer works closely with WPS analysts and Joint Staff leadership to ensure data assets are standardized, documented, and decision-ready. General Duties and Responsibilities: Identify, acquire, and engineer access to mission-critical data sources from across the DoW and interagency partners. Design, build, and maintain automated data pipelines to ingest, clean, and integrate data into a centralized repository. Publish and manage curated datasets as discoverable assets within the J5 Data Catalog, ensuring documentation, standardization, and accessibility for analysts and decision-makers. Develop and maintain WPS AI agents in support of J5 analytical and reporting requirements. Support data collection and collation for NATO reporting requirements and annual WPS statutory reporting. Produce interactive dashboards and data visualizations for senior military leadership, including Flag Officers, General Officers, and SES members. Prepare and present technical materials to senior leadership as required. Contribute to Monthly Status Reports and other deliverables as required by the PWS. Qualifications: Proven, hands-on expertise in data engineering, including building and maintaining secure data pipelines and managing data warehouse solutions in a cloud environment (e.g., AWS, Azure). Expert-level proficiency in data programming languages (e.g., Python, R). Experience developing interactive dashboards for senior leadership using visualization tools (e.g., Tableau, Power BI). Ability to prepare and present materials to Flag Officers, General Officers, or Senior Executive Service (SES) members. Familiarity with DoW data governance frameworks and interagency data-sharing protocols preferred. Experience with AI/ML tool development in a government or national security context preferred. Minimum of three (3) years of experience leading data-centric programs, with demonstrated expertise in designing and implementing enterprise data strategy, architecture, and governance. Minimum of five (5) years of function-related experience at the operational or strategic level, with a demonstrated understanding of DoW organization and operations. Experience includes joint doctrine, strategic planning, the operational planning process, and DoD security cooperation. Proficiency in Microsoft Office suite required. Master\'s degree or higher in Data Science, Computer Science, Statistics, or a related quantitative field. Location and Travel: Pentagon / National Capital Region (NCR). Telework considered only on an exception basis. Travel in support of contract requirements as directed by the COR. Required Security Clearance: U.S. Citizenship required. Must possess and maintain a final Top Secret (TS) security clearance, fully adjudicated with an indication of "determined eligibility of DCID 6/4" in the Joint Personnel Adjudication System (JPAS). #J-18808-Ljbffr PVH (Tommy Hilfiger/Calvin Klein)