📋 Description

• Develop, maintain, and monitor scalable data pipelines in secure environments.
• Ingest, clean, and transform structured and unstructured data for mission-critical apps.
• Collaborate with senior data architects and engineers on data models and quality.
• Build and deploy modules using Docker containers.
• Participate in daily Agile activities, code reviews, and backlog refinement.

🎯 Requirements

• Clearance: US Citizenship with active TS/SCI and Full-Scope Polygraph.
• Education: Bachelor’s in CS, IS, Engineering, or related field (Master’s preferred).
• Experience: 0-4+ years in data engineering.
• Data processing: Familiarity with Spark, Pandas, or SQL-based transformations.
• Databases: PostgreSQL and basic NoSQL concepts.
• Programming: SQL, Python, Bash; Docker containerization.