Data Engineer - Senior-Level

Overview

The Data Engineer supports USINDOPACOM J2 by designing, developing, and optimizing data management systems that enable advanced intelligence analysis across the Indo-Pacific theater. This senior-level role focuses on building scalable data architectures, integrating structured and unstructured data sources, enhancing data accessibility, and improving analytic throughput for all-source intelligence missions. The ideal candidate has deep expertise in database engineering, ETL pipelines, data modeling, and analytic-enabling technologies, along with experience collaborating across the Intelligence Community (IC), academia, and partner organizations.

Clearance: TS/SCI (with Poly if required)
Mission Area: USINDOPACOM J2 - Data Integration & Intelligence Enterprise Support

Responsibilities

Data Architecture, Engineering & Optimization

• Designs, implements, and operates data management systems tailored to intelligence mission needs.
• Develops data storage, access, integration, and management strategies across diverse data regimes and digital systems.
• Works closely with analysts and data users to design optimal data architectures, schemas, and pipelines.
• Plans and optimizes data throughput, indexing, and query performance to ensure responsiveness and scalability.
• Participates in selecting and configuring backend database technologies-including SQL, NoSQL, and high-performance computing (HPC) platforms.

Large-Scale Data Processing & Analytics Support

• Develops, maintains, and analyzes large structured and unstructured datasets to support all-source intelligence production.
• Identifies critical factors, trends, vulnerabilities, and opportunities within datasets that advance analytic understanding and situational awareness.
• Enhances data quality, accessibility, and analytic consistency across the intelligence enterprise.

Modeling, Data Mining & Predictive Analytics

• Designs and builds new processes, models, and data-mining workflows to improve analytic output and intelligence production.
• Develops predictive capabilities and enhances search quality using advanced data-engineering techniques.
• Creates prototypes, algorithms, and custom analytical tools to address division priorities and theater intelligence requirements.

Prototype Development & Custom Solutions

• Conducts tailored data analysis and develops algorithmic solutions to support operational and strategic intelligence needs.
• Generates custom tools, processes, or data models as required to address emerging mission challenges.

Collaboration & Community Integration

• Collaborates extensively with all-source analysts, data scientists, and IC partners to support shared analytic efforts.
• Participates in meetings, working groups, and collaborative forums to synchronize data efforts across the enterprise.
• Ensures alignment with theater-wide data strategies and supports integration of new analytic workflows.

Data Lake Management & Enterprise Integration

• Maintains and expands the USINDOPACOM J2 "data lake," ensuring it remains a robust, accessible repository for multi-domain intelligence data.
• Coordinates with U.S. interagency partners, international allies, academic institutions, and research organizations to incorporate new data sources.
• Ensures datasets are ingested, structured, and accessible for daily analytic use and enterprise-wide operations.

Qualifications

• Senior-level experience in data engineering, data architecture, or database development supporting DoD or IC missions.
• Expertise in SQL/NoSQL systems, ETL pipelines, big-data frameworks, and backend optimization.
• Proficiency in programming languages commonly used for data engineering (e.g., Python, R, Java, Scala).
• Experience working with structured and unstructured datasets and developing predictive or analytic-enabling processes.
• Strong communication skills and ability to collaborate with analysts and mission partners across the IC.
• Demonstrated ability to design scalable, secure data architectures for mission-critical environments.

Preferred Qualifications

• Experience supporting USINDOPACOM or a Geographic Combatant Command.
• Familiarity with data science, AI/ML pipelines, and analytic automation.
• Experience integrating partner and allied data into enterprise architectures.
• Background in computer science, engineering, information systems, or related technical fields.

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