Data Engineer — Real-Time Intelligence Pipelines

Bluehawk, LLC; Idaho; On-site; USD 90,000 - 135,000; Full time

Job summary

Bluehawk, LLC seeks a Data Engineer to design scalable data architectures and pipelines for the Joint Intelligence Operations Center (JIOC). You will implement ETL workflows, real-time processing, and data integration across multi-INT datasets while ensuring IC security and governance standards.

The role collaborates with analysts, data scientists, and computer scientists to translate analytic needs into robust data solutions, maintaining documentation and data lineage throughout.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
• Strong Python skills and experience with SQL/NoSQL databases.
• Experience with ETL/ELT tools and data pipeline development.
• Hands-on experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of data governance and IC data security requirements.

Responsibilities

• Design scalable data architectures to support intelligence missions.
• Develop automated ETL pipelines to ingest and integrate diverse sources.
• Build optimized storage using SQL/NoSQL databases.
• Maintain batch and real-time data pipelines for timely access.
• Implement data quality validation and monitoring mechanisms.
• Collaborate with analysts and data scientists to translate needs into solutions.
• Ensure compliance with IC security and data management policies.

Skills

Analytical mindset

Team collaboration

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SQL

NoSQL databases

Job description

Bluehawk, LLC seeks a Data Engineer to design scalable data architectures and pipelines for the Joint Intelligence Operations Center (JIOC). You will implement ETL workflows, real-time processing, and data integration across multi-INT datasets while ensuring IC security and governance standards.

The role collaborates with analysts, data scientists, and computer scientists to translate analytic needs into robust data solutions, maintaining documentation and data lineage throughout.