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Data Analytics & Visualization Engineer - TS​/SCI Polygraph

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: General Dynamics Information Technology
Full Time position
Listed on 2026-01-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below
Position: Data Analytics & Visualization Engineer - TS/SCI with Polygraph

Req : RQ212982

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Public Trust/Other

Required:

None

Job Family: Data Science and Data Engineering

Skills:

Data Analytics,Data Modeling,Data Visualization,Structured Query Language (SQL),Tableau Dashboard Development

Experience:

8 + years of related experience

US Citizenship

Required:

Yes

Job Description

As a Data Analytics & Visualization Engineer
, you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive decision-making.

Responsibilities
  • Design, build, and evolve analytics-ready data pipelines (ETL/ELT) that support scalable reporting and visualization use cases, ingesting structured and unstructured data from diverse sources.
  • Lead the development of advanced Tableau dashboards and visual analytics products
    , emphasizing clarity, usability, and decision support for operational and executive audiences.
  • Translate complex datasets into clear, intuitive visual stories that communicate trends, risks, and performance insights.
  • Partner with analytics and engineering teams to operationalize data products into production-ready dashboards and reporting workflows.
  • Participate across the full analytics development lifecycle, including requirements gathering, data modeling, dashboard design, testing, deployment, and iterative refinement.
  • Present dashboard insights, trends, and analytical findings to internal customers and leadership, tailoring content for technical and non-technical audiences.
  • Collaborate with design and product teams to implement modern visualization techniques
    , UX best practices, and interactive analytics.
  • Support and continuously enhance analytics and visualization platforms, ensuring performance, scalability, and data integrity.
Required Qualifications
  • Education: Bachelor’s degree in Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience
    , OR 5+ years of relevant experience in data analytics, visualization, or analytics engineering in lieu of a degree.
  • Clearance: Active TS/SCI with Polygraph
  • Experience developing data pipelines and analytics workflows using Python or similar modern analytics languages.
  • Strong proficiency in SQL and data modeling to support analytical and visualization use cases.
  • Hands‑on experience developing visual analytics and dashboards
    , with demonstrated proficiency in Tableau
    .
  • Experience designing dashboards for operational monitoring, trend analysis, and executive reporting
    .
  • Strong communication skills, with the ability to clearly explain analytical findings and visualization design decisions.
  • Analytical mindset with attention to data quality, consistency, and interpretability.
Preferred Qualifications
  • Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement.
  • Power BI experience for dashboard development or cross‑platform visualization environments.
  • Tableau or other data visualization certifications.
  • Background in data visualization best practices, UX/UI principles, or visual analytics design
    .
  • Experience automating analytics workflows and data preparation using Python.
  • Experience with API‑based data ingestion and integration.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP
    .
  • Optional experience with containerized environments (e.g., Docker).
  • Experience working in Agile environments using tools such as Git Lab, Git, and CI/CD pipelines.
  • Knowledge of open‑source analytics and visualization ecosystems.
GDIT is Your Place
  • Growth: AI‑powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
  • Community: Award‑winning culture of…
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