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Data Visualization Engineer

Technology
SAIC
Chantilly, United States2 weeks agoUntil 12/18/2026
On-site

Job description

SAIC is seeking a Data Visualization Engineer to support an SAIC Prime Program supporting the NRO in Chantilly, VA.

Note: Qualified candidates must have a current and active Top Secret/SCI with Polygraph to be considered for this role.

In this role, you'll combine hands-on Tableau expertise with systems engineering and technical advisory skills to deliver high-impact visual analytics that support mission execution and senior leader decision-making. This position is ideal for candidates who enjoy transforming complex data into actionable insights while working directly with Government stakeholders, engineers, and mission partners in a highly visible SETA environment.

Responsibilities to include

  • Design, develop, and deploy new Tableau dashboards that provide mission, programmatic, and technical insights across the Ground Enterprise.
  • Enhance and maintain existing dashboards, improving usability, accuracy, performance, and alignment with evolving Government priorities.
  • Assess and validate data sources, ensuring data integrity, completeness, and readiness for visualization.
  • Collaborate closely with Government stakeholders to gather analytic requirements and translate them into intuitive, high‑impact visualizations and data flows.
  • Evaluate dashboard architecture and dependencies, providing SETA advisory recommendations to improve reliability, performance, and scalability.
  • Conduct data modeling, transformation, and integration tasks to support new visualizations and analytic workflows.
  • Perform testing, verification, regression checks, and quality assurance to ensure dashboards reflect accurate, mission‑aligned data.
  • Document dashboard logic, data pipelines, filters, calculations, and usage patterns to maintain analytic continuity.
  • Stay current with Tableau features, visualization best practices, and enterprise BI trends to guide capability enhancements.

    Recommend improvements to strengthen analytic maturity, streamline reporting processes, and support leadership decision‑making.

Keywords
ScalabilityPythonSqlUsability

Interested in this role?