• Provide technical leadership and analytical expertise in data engineering, modeling and simulation (M&S), and systems analysis • Manage the technical execution of complex readiness, sustainment, and logistics modeling efforts • Integrate multidisciplinary engineering methodologies to ensure model development, data management, and analytical outputs align with program objectives • Collaborate with software developers, data scientists, and product managers to understand requirements and align on project goals • Design and implement data solutions that support software development initiatives • Participate in planning sessions to develop data pipeline architecture that aligns with project requirements • Design data ingestion, transformation, and storage workflows that are scalable • Implement data quality checks and validation procedures to ensure data accuracy and integrity • Conduct comprehensive testing, ensuring application quality and functionality stay in specifications • Document data engineering processes and ensure accuracy and completeness of all documentation • Manage projects, including planning, execution, and delivery