onsite
Data Exploitation Engineer - Fantom Corporation
Software Engineer
Lead data engineering and exploitation efforts for defense and intelligence programs, building robust pipelines, analyzing diverse data sources, and delivering actionable insights using Python, SQL, and big‑data technologies.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to ingest, transform, and store structured and unstructured data from mobile applications and other sources.
- Perform advanced data analysis and feature engineering to support intelligence and decision‑making processes.
- Collaborate with cross‑functional teams to define data requirements, quality standards, and performance metrics.
- Implement automated testing, monitoring, and documentation for data workflows.
- Optimize data storage and retrieval using SQL and big‑data technologies to meet stringent latency and throughput requirements.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.
- 3+ years of experience building data pipelines with Python, SQL, and ETL tools.
- Strong knowledge of big‑data ecosystems (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure).
- Experience with data quality, governance, and security best practices.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.