Data Engineer Mid

At Amentum, a Mid-Level Data Engineer is sought to design and maintain data pipeline architectures and infrastructure that power intelligence operations, including ETL and real-time processing, while upholding IC security standards and data governance. This onsite role at Ford Island, Hawaii, involves close collaboration with intelligence analysts and participation in planning conferences and coordination boards to ensure data readiness for mission needs.

Responsibilities

• Design and implement scalable data architectures to support intelligence operations, ensuring systems can handle growing data volumes.
• 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 to 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.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field
• Minimum 3 years of experience in data engineering
• Proficiency in Python or R
• Experience with SQL and NoSQL database technologies
• Knowledge of ETL tools and data pipeline frameworks
• 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
• 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

Technologies

• Python
• R
• SQL
• NoSQL

Purpose and Impact

This position is contingent upon award of contract, business needs, security clearance verification, and funding availability. The ideal candidate will design, implement, and maintain robust data pipeline architectures to support complex intelligence operations, building scalable data infrastructure using industry-standard practices for data integration and storage. This role supports operations across multiple locations.

Work Schedule

Standard 40-hour work week, typically 0600 to 1800, Monday through Friday. Shift work may be required as necessary.

Security Clearance Required

TS/SCI clearance is required, with the ability to take a polygraph if requested.

Other Responsibilities

• Safety: Amentum promotes a safety-first culture; employees are expected to participate in training, emergency response tasks, and safety committees as appropriate.
• Quality: All work should comply with the Amentum Quality Policy and applicable quality system documents and contracts to ensure customer satisfaction.
• Procedure Compliance: Employees must read, understand, and implement all operational, safety, quality, and environmental requirements of plans and procedures relevant to their role.