Data Engineer Stf
Overview:
As a Full-stack Data Engineer, you will design and deliver data solutions across the entire lifecycle, leveraging local, distributed, and cloud technologies. You will build scalable pipelines to clean, transform, and prepare data for analysis, while ensuring security and governance. You'll work with cross-functional teams to define standards and support analytics, BI, and ML initiatives. This role supports mission-driven programs and requires hands-on data engineering, architectural insight, and a focus on performance. You will help shape data-enabled decision making in a high-impact defense context. Compensation / Benefits Medical, Dental, Vision Flexible work arrangements 401(k) match Paid time off Parental Leave Education Assistance
Responsibilities:
- Build and maintain end-to-end data pipelines (ETL/ELT) to ingest, transform, and store data for analytics
- Design functional capabilities, security, backup, and recovery specifications for data solutions
- Manage all stages of data solution lifecycles: data profiling, data modeling (conceptual to physical), ETL/analytics
- Maintain system performance, troubleshoot production issues, and optimize data parameters
- Define data object standards, best practices, and certification processes
- Collaborate with cross-functional teams to deliver data-enabled reporting and analytics
Key requirements:
- 10+ years in data engineering with 3+ years supporting AI/ML systems 5+ years in data analysis and data/system architecture
- Interim or Active U.S. Government Security Clearance; ability to obtain program access
- Strong proficiency with Eqube, neo4j, and SAP HanaHands-on experience building scalable ETL/ELT pipelines
- Experience with Agile methodologiesstrong collaboration and stakeholder managementexcellent organizational and analytical abilitiesproblem-solving and time management
- Equbeneo4jSAP Hana