Data Engineer - Mid

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

Overview

The Data Engineer designs, develops, and maintains scalable data architectures and pipelines that enable advanced intelligence analysis across the Joint Intelligence Operations Center (JIOC). This role is responsible for implementing robust extract, transform, load (ETL) workflows, real-time data processing solutions, and data integration frameworks that support multi-INT datasets and mission-critical intelligence operations.

The Data Engineer ensures that all data systems adhere to Intelligence Community (IC) security, governance, and compliance standards while enabling analysts and mission partners to access reliable, high-quality, and timely intelligence data.

Responsibilities

• Design and implement scalable and resilient data architectures capable of supporting complex intelligence missions and growing data volumes.
• Develop automated ETL and data transformation processes to ingest, normalize, and integrate data from diverse and non-standard intelligence sources.
• Build optimized data storage solutions using SQL and NoSQL technologies tailored to JIOC’s analytic requirements.
• Create and maintain batch and real-time data pipelines to provide consistent, timely access to mission-critical datasets.
• Implement data quality validation mechanisms and monitoring systems to ensure the accuracy, completeness, and reliability of intelligence data.
• Optimize database performance and data retrieval patterns to support rapid intelligence production and analyst workflows.
• Apply data governance and security best practices to ensure compliance with IC and DoD data management policies.
• Maintain detailed documentation, including data dictionaries, schema definitions, and data lineage tracking.
• Implement and maintain data security measures aligned with classification guidelines and compartmentation requirements.
• Collaborate closely with intelligence analysts, data scientists, and computer scientists to translate analytic needs into technical data solutions.
• Participate in JIOC planning conferences, technical working groups, capability development meetings, and national-level intelligence coordination forums to align data engineering solutions with mission needs.

Qualifications

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related technical field.

Required Skills

• Proficiency in core data engineering programming languages, especially Python.
• Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch).
• Solid understanding of ETL/ELT tools, workflow orchestration frameworks, and data pipeline development.
• Hands-on experience with cloud-based data platforms (AWS, Azure, GCP, etc.).
• Understanding of data governance, metadata management, and IC data security requirements.
• Experience optimizing database performance and developing highly efficient queries.
• Ability to integrate structured and unstructured data from multiple intelligence data sources.
• Familiarity with intelligence data types and collection methodologies is preferred.

Experience

• Minimum 3–5 years of experience in data engineering, database development, or related technical roles.

Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity