remote
Senior Data Flow Engineer - Leidos
Software Engineer
Lead the design, implementation, and optimization of secure data pipelines and analytics workflows using Python, SQL, and cloud-based Big Data platforms to support mission-critical intelligence operations.
About the role
Key Responsibilities
- Architect and develop scalable, secure data pipelines that ingest, transform, and deliver high‑value intelligence data across multiple domains.
- Collaborate with security, network, and analytics teams to ensure compliance with stringent data protection and cryptographic standards.
- Implement and maintain ETL processes using Python, SQL, and cloud services (AWS/GCP) to support real‑time and batch analytics workloads.
- Optimize pipeline performance, monitor data quality, and troubleshoot issues in production environments.
- Document design decisions, data models, and operational procedures for cross‑functional teams.
Requirements
- 5+ years of experience in data engineering, with a strong focus on secure data flow and analytics.
- Deep understanding of Big Data technologies (Spark, Hadoop, or equivalent) and data warehousing concepts.
- Experience with security engineering practices, including encryption, key management, and compliance frameworks.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, mission‑critical environment.