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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Data Solutions Engineer TS/SCI - **Company:** IBM - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Word, Application Programming Interfaces (APIs), Computer Vision, Big Data, Cloud Computing, Code Review, Computer Programming, Data Systems, Python (Programming Language), Machine Learning, Raw Data, Data Streaming, Systems Integration, Data Processing, Information Technology, Data Pipelines - **Published:** August 16, 2026 - **Apply:** https://www.dice.com/job-detail/6b1e3e1c-b7b8-4f53-967b-6572002520b5 ## About the Role Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Clearance & Logistics: ship is required. Candidates must possess an active Top Secret/SCI (TS/SCI) clearance with a Full Scope Polygraph on Day 1 and be able to work onsite in the Washington, DC Metro Area (Chantilly, VA). Work is performed in a secure environment with limited remote flexibility. Education & Experience: Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field, or equivalent practical experience, with 5 or more years of experience in data science, machine learning, or applied data roles, with a track record of applying skills to real-world problems. Programming & Data Fundamentals: Strong proficiency in Python and working knowledge of SQL. Demonstrated ability to work directly with raw data to explore, transform, and analyze datasets without relying on pre-built tooling. Data Processing & Systems: Experience contributing to data pipelines and processing workflows, including ingestion and transformation, and handling of large or complex datasets. Applied Modeling and Analysis: Experience building and applying models or analytical approaches in real-world settings, with an understanding of how to adapt to changing data and requirements. Data Types & Complexity: Experience working with multiple forms of data such as text, imagery, video, or sensor data, and the ability to extract meaningful patterns from incomplete or noisy inputs. Operational & Secure Environment: Experience working in distributed, standalone, or secure environments, adapting approaches to system and security constraints. Model Use & Lifecycle Awareness: Experience putting models or analytical outputs into use and monitoring performance over time, including recognizing when adjustments are needed. Ways of Working: Ability to operate effectively in team-based environments with shared ownership and accountability. Demonstrates sound judgement when working through ambiguous or evolving problems and contributes to both delivery and team capability. Preferred technical and professional experience Candidates may come from different technical backgrounds but should demonstrate exposure across data, systems, and analysis. Mission & Domain Experience: experience supporting or delivering solutions within the IC or DoD, particularly in secure, mission-driven, or air-gapped environments. Data & Analytical Techniques: experience working with imagery data or applying computer vision techniques. Familiarity with newer modeling approaches when applied in practical, real-word settings. Data Processing & Systems: experience working with real-time or streaming data or building workflows that support continuous data processing and analysis. Strong preference for candidates who default to code-driven analysis rather than relying on GUI-based tools. Cloud & Infrastructure Exposure: exposure to clou or hybrid environments within secure constraints, with an understanding of how infrastructure impacts data and system design. Integration & Tooling: experience with APIs, system integration, or container-based workflows, including adapting tools and components to fit within larger systems. Team Development & Growth: demonstrated ability to support and develop junior team members through hands-on collaboration, guidance, and shared delivery of work., Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ## Description You will work across the full lifecycle of work. That includes getting data, shaping it, building models where needed, 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. Your role and responsibilities *** Candidate is required to have ship for this role without exception. Candidates must also have an approved, active US Government Top Secret/SCI security clearance with Full Scope Polygraph and be able to sit onsite in the Washington DC Metro area. *** The Data Solutions Engineer is a hands-on technologist and problem solver who works across data, systems, and analysis to deliver outcomes that are usable in real mission conditions. This role is responsible for contributing to solutions that take raw, fragmented data and turn it into something clear, reliable, and actionable. The focus is on building work that holds up in operational use, not just in controlled environments. You will contribute across the workflow, from how data is handled through how it is used, making practical decisions that balance technical quality with mission needs. You will: * 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. Team Development and Collaboration: * 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. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Building with IBM Bob](https://www.wearedevelopers.com/videos/100275-building-with-ibm-bob) - [Are Code Reviews Worth It? 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