Software Engineering AI/Data Solutions Engineer TS/SCI (FSP) Professional Multiple CitiesIBM • Chantilly, Virginia, United States

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Software Engineering AI/Data Solutions Engineer TS/SCI (FSP) Professional Multiple Cities

IBM

Chantilly, Virginia, United States

Chantilly, Virginia, United States

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À propos

Role Overview At IBM, the work is about building things that matter. You will be working on real problems in a mission environment where the output of your work is used, not just presented. We are looking for a hands-on data and engineering professional who can take messy, incomplete information and turn it into something useful and clear. This role is about going from raw data to real understanding and doing it in a way that people can act on immediately, with confidence. You will work across the full lifecycle of work - getting data, shaping it, building models, and delivering outputs that help people make decisions. This is not a role where someone hands you a clean dataset or defined problem. You will also work closely with junior team members. Part of your responsibility is helping them grow into strong, independent contributors by working alongside them, giving them ownership, and holding a high bar for quality. Responsibilities Work directly with raw and incomplete data, determining how to structure, process, and use it effectively. Develop and apply models and analytical methods to identify meaningful patterns, behaviors, and signals. Build and support data pipelines that enable consistent, repeatable processing across datasets. Integrate internal and external models into working systems and adjust them as conditions or data changes. Operate effectively in secure and constrained environments where tradeoffs are required. Work directly with junior data engineers and data scientists as part of day-to-day delivery. Help them take ownership of defined components and hold them accountable for outcomes. Provide direct feedback through code review and working sessions. Break down complex problems so others can contribute and build confidence. Support a team environment where responsibility is shared and expectations are clear. Qualifications Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience; 5+ years in data science, machine learning, or applied data roles. Clearance: US Citizenship required. Must hold an active Top Secret/SCI clearance with a Full Scope Polygraph on Day 1 and be able to work onsite in the Washington, DC Metro Area (Chantilly, VA). Technical skills: Proficiency in Python and working knowledge of SQL; experience with raw data exploration, transformation, and analysis without reliance on pre-built tooling. Data pipeline experience: Contributing to ingestion, transformation, and processing workflows for large or complex datasets. Applied modeling: Building and applying models or analytical approaches in real-world settings, with an understanding of how to adapt to changing data and requirements. Multi-modal data: Experience with text, imagery, video, or sensor data and extracting patterns from incomplete or noisy inputs. Operational security: Working in distributed, standalone, or secure environments, adapting approaches to system and security constraints. Lifecycle awareness: Putting models or analytical outputs into use and monitoring performance over time. Teamwork: Ability to operate effectively in team-based environments with shared ownership and accountability, demonstrating sound judgement when handling ambiguous or evolving problems. Mission experience (preferred): Supporting or delivering solutions within the IC or DoD, especially in secure, mission-driven, or air-gapped environments. Data processing (preferred): Working with real-time or streaming data or building continuous data processing workflows. Cloud exposure (preferred): Experience with cloud or hybrid environments under secure constraints. Integration & tooling (preferred): Experience with APIs, system integration, or container-based workflows. Team development (preferred): Demonstrated ability to support and develop junior team members through hands-on collaboration and guidance. Benefits Healthcare benefits including medical, prescription drug, dental, vision, and mental health & wellbeing. Financial programs such as 401(k), cash balance pension plan, employee stock purchase plan, life insurance, short- and long-term disability coverage. Generous paid time off: 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with policy. Paid family leave benefits where required by law. Training and educational resources on a personalized AI-driven learning platform. Diverse and inclusive employee resource groups, volunteer opportunities, and discounts on retail products. Equal-Opportunity Employer IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Chantilly, Virginia, United States

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