Data Engineer Mid

Amentum•Pearl City, HI

About The Position

This position is contingent upon award of contract, business needs, security clearance verification, and funding availability. We are seeking a Mid-Level Data Engineer to support various locations. The ideal candidate will need to do the following. Designs, implements, and maintains robust data pipeline architectures to support complex intelligence operations. This position is responsible for developing scalable data infrastructure using industry-standard practices for data integration and storage to enable efficient intelligence analysis and decision-making. The Data Engineer implements extract, transform, load (ETL) processes and real-time data processing solutions that facilitate the ingestion, transformation, and integration of diverse intelligence sources. This role requires expertise in creating and optimizing data models and schemas to support efficient querying and analysis by intelligence personnel while ensuring compliance with IC security standards and data governance requirements.

Requirements

Proficiency in programming languages essential for data engineering, particularly Python (or R)
Experience with database technologies including both SQL and NoSQL systems
Knowledge of ETL tools and data pipeline frameworks
Demonstrated experience with cloud-based data platforms and services
Understanding of data governance principles and information security practices
Experience designing and implementing data pipelines for batch and real-time processing
Demonstrated ability to optimize database performance and query efficiency
Experience integrating data from multiple sources and in various formats
Familiarity with intelligence data types and collection methodologies
Security Clearance Required: TS/SCI. Ability to take a poly if requested
Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field
Minimum 3-5 years of experience in data engineering, database administration, or similar roles.

Responsibilities

Design and implement scalable data architectures to support intelligence operations, ensuring systems can handle growing volumes of data
Develop automated processes for data ingestion, transformation, and integration from multiple sources, including conditioning of non-standard datasets
Build efficient data storage solutions optimized for intelligence functions using appropriate SQL and NoSQL technologies
Create and maintain data pipelines for both batch and real-time processing to ensure timely availability of critical intelligence data
Implement data quality controls and monitoring systems that ensure integrity and reliability of information
Optimize query performance and data access patterns to support rapid retrieval of intelligence data by analysts
Implement data governance practices and quality assurance processes to ensure compliance with IC standards
Develop and maintain comprehensive data documentation and lineage information to support data provenance requirements
Create robust security measures to protect sensitive data in accordance with classification guidelines
Collaborate with intelligence analysts to understand complex data requirements and develop appropriate technical solutions
Actively participate in JIOC intelligence planning conferences and exercises, 12 working groups, intelligence system capability development meetings, Joint and national-level intelligence coordination boards, and technical exchange meetings with mission partners