Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Chantilly, VA, United States
Posted
20 hours ago
SQLETL
Job Description
Who you are: The Senior Data Engineer supports advanced visual analytic applications by building data pipelines, designing large relational databases, and enabling high-performance analysis across structured and semi-structured data. This role helps streamline processes, improve system performance, and strengthen secure data practices while mentoring junior team members and contributing to cross-team standards. What you do:
- Develop data processing workflows and analytics for desktop and web-based visual analytic tools.
- Support large-scale relational data analysis using visualization and high-performance computing.
- Build secure data ingest pipelines using open-source, COTS, and GOTS technologies.
- Design and optimize enterprise relational databases and establish standards for operations and security.
- Integrate new data systems with existing data warehouses and improve performance and functionality.
- Provide mentorship and contribute to system optimization and secure posture improvements.
- Bachelor's degree is required.
- 8+ years of experience in data engineering, database design, or related fields.
- Strong skills in relational database design, SQL, and ETL/ELT processing.
- Experience working with structured and semi-structured data and visualization technologies.
- Familiarity with high-performance computing and mixed technology environments.
- Strong analytical, communication, and collaboration skills.
- Experience improving data workflows, performance, and security.
- Experience supporting federal or secure, multi-enclave environments.
- Background with advanced visualization platforms or high-volume data processing.
- Knowledge of data modeling, warehousing, and performance tuning.
- Active Top Secret security clearance
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