Full-Stack Data Engineer (TS/SCI)

Introduction Our team is committed to providing senior National Security leaders with decision-worthy data and analysis to improve the effectiveness of Intelligence systems supporting DoW Warfighters. The team conducts empirical analysis to provide definitive accounts of DoW ISR contributions to operations and generates data-driven acquisition recommendations for the Office of the Under Secretary of War for Intelligence and Security, OUSW(I&S). We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a curiosity to learn and innovate, and a general understanding of the defense intelligence enterprise. Our data engineering team leverages open-source and enterprise languages and tools to pull, clean, analyze, and display data in decision support tools for senior leaders within the Department of War. Work location is in Reston, VA, and is full-time in-person. Your role and responsibilities As a Data Engineer with Advanced Analytics expertise, you will specialize in formulating mathematical approaches to solve complex business problems and utilize predictive analytics tools to draw conclusions and present findings. You will design, build, and manage solutions that involve preparing data, performing statistical analysis, and deploying analysis results. Your primary responsibilities will include: Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results. Perform Statistical Analysis: Perform statistical analysis and data mining to identify trends and patterns and utilize predictive analytics tools like SPSS to draw conclusions and present findings. Formulate Mathematical Approaches: Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming. Prepare and Collect Data: Gather and prepare data for analysis, ensuring data quality and integrity. Deploy Analysis Results: Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement. Required technical and professional expertise US Citizen with active TS//SCI clearance or show immediate eligibility according to DISS security database (SCI within last 2 years) Bachelor’s Degree, preferably in STEM fields 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities 2+ years of experience using Python or similar programming languages (Ruby, Java, R) 2+ years of experience with database development (SQL and NoSQL) 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context Experience with advanced text parsing tools to include regex and NLP Preferred technical and professional experience Master’s Degree, preferably in STEM fields 2+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired Experience developing and delivering technology in at least two of the following areas with a willingness to expand to all: data analytics, machine learning, artificial intelligence, data visualization, geospatial analysis, web services, or database development Experience in web design and development using HTML and CSS Experience in advanced AI techniques - fine-tuning ML models and LLMs, implementing chat sessions via API, retrieval-augmented generation, agentic workflows/tooling/function calling, and/or context window optimization IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr IBM Computing