onsite
Data Engineer with Security Clearance - Parsons
Data Engineer
Data Engineer with Security Clearance: design, build, and maintain scalable data pipelines using Python, SQL, and AWS services, ensuring secure, compliant data flows for mission‑critical applications.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load large datasets into cloud data warehouses.
- Leverage AWS services (S3, Redshift, Glue, Lambda) to build scalable, secure data architectures.
- Implement data quality checks, monitoring, and alerting to ensure data integrity and availability.
- Collaborate with data scientists, analysts, and security teams to meet compliance and security requirements.
- Document data models, pipeline logic, and operational procedures for audit and knowledge transfer.
Requirements
- Proven experience in Python and SQL for data engineering tasks.
- Hands‑on experience with AWS data services and cloud architecture.
- Strong understanding of ETL concepts, data modeling, and performance tuning.
- Experience with security best practices and compliance frameworks (e.g., NIST, DoD).
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.