Intelligence Data Engineer (Mid) — Real-Time Pipelines

Amentum; Pearl City (HI); On-site; USD 120,000 - 190,000; Full time

Job summary

Amentum seeks a Mid-Level Data Engineer to design, implement, and maintain scalable data pipelines for intelligence operations. The role focuses on ETL, real-time processing, and robust data infrastructure to enable efficient analysis and decision-making while ensuring IC security standards.

You will collaborate with analysts, ensure data quality and governance, optimize queries, and contribute to comprehensive data documentation.

Qualifications

• Bachelor's degree in CS/IS/DS or related field is required.
• Minimum 3-5 years of data engineering or related experience.
• Proficiency in Python (or R) and SQL/NoSQL databases.
• Experience with ETL tooling, data pipelines, and cloud platforms.
• Familiarity with data governance and information security practices.

Responsibilities

• Design and implement scalable data architectures for intelligence operations.
• Develop automated ETL processes and real-time data ingestion from multiple sources.
• Build optimized data storage using SQL and NoSQL technologies.
• Create and maintain data pipelines for batch and real-time processing.
• Implement data quality controls and monitor data integrity.

Skills

Python

SQL

NoSQL

ETL pipelines

Cloud platforms

Data governance

Real-time processing

Data modeling

Data integration

IC security

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field

Tools

SQL databases

NoSQL databases

ETL tools

Cloud services (AWS/Azure/GCP)

Job description

Amentum seeks a Mid-Level Data Engineer to design, implement, and maintain scalable data pipelines for intelligence operations. The role focuses on ETL, real-time processing, and robust data infrastructure to enable efficient analysis and decision-making while ensuring IC security standards.

You will collaborate with analysts, ensure data quality and governance, optimize queries, and contribute to comprehensive data documentation.