Data Engineer (Secret/Top Secret), Washington D.C.
Core
Design and implement data engineering activities for mission-driven national security projects, building scalable data infrastructure and pipelines to support predictive intelligence.
Role type
Data Engineer (National Security)
Builds
Data repositories, data platforms, and ingestion/transformation pipelines for defense and security applications.
Domain
National Security / Defense / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL pipeline development, data modeling, query optimization, cloud technologies (AWS), data governance
Preferred skills
Machine learning frameworks (TensorFlow, Scikit-Learn), noSQL databases, C/C++/Java
Technologies
Python, Pandas, Numpy, MySQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, AWS, TensorFlow, Scikit-Learn
Responsibilities
Develop code to automate data ingestion and improve data management processes; Architect data repositories and develop data pipelines; Extract and analyze raw data from multiple sources via APIs, SQL, or Python; Collaborate with multi-disciplinary teams in an agile environment; Manage assessment, design, and maintenance of scalable platforms for clients.
Seniority
Mid-level, hands-on IC