TS/SCI Visualization & Analytics Engineer (Top-Secret Clearance required)

Summary: The role of Visualization & Analytics Engineer requires a highly skilled individual with expertise in Tableau and AWS analytics services, particularly in integrating these technologies to build scalable dashboards. The candidate must possess an active Top Secret clearance and have experience with AWS services such as Athena and QuickSight. This position is remote and classified as outside IR35, indicating a flexible working arrangement and independent contractor status. The focus is on developing and maintaining data visualization solutions that meet business intelligence needs.

Key Responsibilities:

• Design, develop, and maintain Tableau dashboards to support business intelligence and analytics requirements.
• Integrate Tableau with AWS services, including Athena queries and metadata management, S3 data lakes, and AWS Glue Data Catalog.
• Build and optimize Tableau data extracts, published data sources, and performance-tuned dashboards.
• Develop and maintain AWS QuickSight dashboards, datasets, analyses, and user permissions.
• Collaborate with data engineering teams to ensure clean data pipelines and proper data modeling for reporting use cases.
• Understand and document how UI visualization layers connect to and query backend databases and data lake zones.
• Work with DevOps teams to implement CI/CD processes for dashboard versioning and automated deployments.
• Troubleshoot dashboard performance issues and optimize queries in Athena and other AWS data services.
• Ensure governance, security, and role-based access control across visualization and data platforms.
• Partner with business users to translate requirements into actionable analytics products.

Key Skills:

• 3-7 years of experience in business intelligence, analytics, or data visualization roles.
• Strong hands-on experience with Tableau Desktop and Tableau Server/Online.
• Proven experience integrating Tableau with AWS Athena and S3.
• Practical knowledge of AWS analytics stack, including Athena, S3, Glue, and Lake Formation.
• Experience building dashboards and datasets in AWS QuickSight.
• Strong understanding of data lakes, data warehouses, and backend architectures.
• Proficient in SQL for building and optimizing data queries.
• Familiarity with CI/CD tools and version control best practices.
• Ability to work with cross-functional teams and translate business needs into technical solutions.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT