Data Engineer Mid

On-site opportunity at Ford Island, HI with Amentum offers a practical path for a mid-level Data Engineer to shape robust data pipelines that support critical intelligence operations. You will contribute to scalable architectures, governance, and secure data handling within a safety- and quality-focused culture. Expect collaboration with intelligence analysts, participation in planning conferences and coordination boards, and exposure to mission-partner technical exchanges. The role is structured as a standard 40-hour work week, with hours from 0600 to 1800, Monday through Friday, with the possibility of shift work if needed. A TS/SCI clearance is required, with polygraph possible if requested.

Responsibilities

• Design and implement scalable data architectures to support intelligence operations and accommodate increasing data volumes.
• Create automated ingestion, transformation, and integration pipelines from multiple sources, including handling non-standard datasets.
• Develop storage solutions optimized for intelligence needs using SQL and NoSQL technologies.
• Build and maintain data pipelines for both batch and real-time processing to ensure timely access to critical intelligence data.
• Institute data quality controls and monitoring to maintain data integrity and reliability.
• Tune queries and data access patterns to support rapid data retrieval by analysts.
• Apply data governance practices and QA processes to ensure alignment with IC standards.
• Document data lineage and metadata to support provenance requirements.
• Implement robust security measures to protect sensitive information in line with classification guidelines.
• Collaborate with intelligence analysts to translate complex data needs into effective technical solutions.
• Participate in JIOC intelligence planning conferences, 12 working groups, intelligence system capability development meetings, joint and national intelligence coordination boards, and technical exchanges with mission partners.

Requirements

• Proficiency in Python or R for data engineering tasks.
• 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 and information security practices.
• Experience designing and implementing pipelines for both 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 role hinges on contract award, funding, security clearance verification, and business needs. The Mid-Level Data Engineer designs, implements, and maintains data pipeline architectures to support complex intelligence operations, building scalable infrastructure for data integration and storage that aligns with industry-standard practices.

Work Schedule

Standard 40-hour week with shifts possible. Work hours are 0600 to 1800, Monday through Friday, with the potential for shift work if required.

Security Clearance Required

TS/SCI clearance is required, with the possibility to obtain a polygraph if requested.

Other Responsibilities

• Safety: Amentum fosters a safety-conscious culture. Employees are expected to complete required training, participate in emergency response tasks, and engage with safety committees as applicable.
• Quality: Amentum emphasizes quality as the foundation of customer satisfaction. Employees should adhere to the Quality Policy and applicable Quality System documents and contracts.
• Procedure Compliance: Employees must read, understand, and implement applicable operational, safety, quality, and environmental requirements across plans, procedures, and policies relevant to their role.