Data Engineer – Clearance Required

📋 Description

• Design and implement automated workflows to enhance cross-system data flow.

• Identify and visualize essential interdependencies between hardware components and software systems throughout the enterprise.

• Assist in the integration of data across programs and the software acquisition pathway to track real-time program health.

• Analyze extensive datasets of requirements across multiple programs to detect duplications.

• Drive consolidation efforts to eliminate waste and optimize operations.

• Develop and maintain data models that facilitate "what-if" scenario planning and enterprise-level ontologies, ensuring consistent data definitions across various programs.

• Employ data-driven "downtracing" techniques to refine solution architectures, ensuring traceability of every requirement from high-level mission objectives to technical implementation.

• Convert complex data models into engaging narratives, dashboards, and briefings.

• Effectively communicate project requirements, resource gaps, and the implications of various investment trade-offs to senior Army leadership.

⛳️ Requirements

• Over 8 years of experience in data engineering or architecture, or systems engineering, ideally within a Department of War or Army context.

• Advanced proficiency with data integration tools and programming languages (e.g., Python, SQL, or specialized MBSE tools like Cameo or MagicDraw).

• Demonstrated capability to conduct complex data mapping and identify interdependencies within a "system-of-systems" architecture.

• Outstanding ability to present technical data to non-technical executive audiences, emphasizing resource allocation and decision-making.

• Bachelor’s degree in Engineering, Data Science, Computer Science, or a related technical field.

• Active INCOSE (ASEP/CSEP), OCSMP model certification, or a related qualification.

• Familiarity with Army acquisition processes, CPE models, the Army's modernization priorities, and the implementation of data governance standards to ensure interoperability.

• Experience in building data bridges or integrations between System Modeling tools (e.g., Cameo or Capella/Arcadia) and Analytics platforms (e.g., Vantage).

• Active Secret or Top Secret clearance preferred.

• Experience with digital engineering frameworks and requirements management tools (e.g., DOORS).

• Knowledge of Modular Open Systems Approach (MOSA) standards to ensure data portability and system interoperability.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options