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IBM in Reston, VA seeks a TS//SCI-cleared Data Engineer with Advanced Analytics to design, build, and deploy data pipelines and analytics for senior DoW leaders. You will work in-person, shaping data-driven decisions and acquisition recommendations.
You will apply Python, SQL/NoSQL, NLP, and SPSS to collect, analyze, and present findings, including data visualization. The role emphasizes rigorous data preparation and stakeholder delivery.
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.
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:
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.