Data Engineer/Analyst

CACI International Inc is seeking a Data Engineer/Analyst to support Joint Interagency Task Force 401 (JIATF 401). The role focuses on designing data architectures and analytical pipelines, applying AI and advanced analytics, and transforming operational, intelligence, and mission data into actionable insights for operational assessments, acquisition decisions, and strategic planning.

Responsibilities

• Design, develop, and maintain scalable data pipelines that collect, integrate, process, and manage data from multiple operational, intelligence, and enterprise sources
• Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support mission analysis, operational assessments, and decision-making
• Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability across the organization
• Develop dashboards, reports, data visualizations, and common operating picture products that communicate complex information in a clear and actionable manner
• Leverage artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics
• Conduct data mining, data scraping, and data exploitation activities to identify relevant information from large volumes of structured and unstructured data
• Develop and maintain data models, databases, data dictionaries, and metadata repositories to support enterprise data management requirements
• Collaborate with engineers, analysts, operators, and stakeholders to identify data requirements and develop analytical solutions supporting mission objectives
• Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes
• Produce technical documentation, data management plans, analytical reports, and executive-level briefings to support senior military and civilian leadership
• Ensure data integrity, security, and compliance with applicable policies, standards, and governance requirements
• Identify opportunities to improve data architectures, automation workflows, and analytical methodologies to increase efficiency and effectiveness
• Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts through data-driven analysis and decision support
• Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to enhance organizational capabilities

Preferred

• Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations
• Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems
• Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems
• Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices
• Experience integrating AI capabilities into operational workflows and mission support activities
• Intelligence Community Support
• Homeland Security Support
• Counter-UAS Support
• Intelligence Data Sources
• Sensor Data
• Operational Data Feeds
• Mission Command Systems
• CJADC2
• Data Fusion
• Common Operating Picture Development
• Operational Decision-Support Systems
• Cloud-Based Data Environments
• Distributed Computing Architectures
• Enterprise Data Governance
• AI Integration
• Operational Workflow Integration
• Mission Support Activities

Benefits

• Flexible time off benefit
• Access to robust learning resources
• Healthcare benefits
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits

Company

• National security technology and expertise for government missions
• Reston, Virginia, USA
• https://www.caci.com/
• Founded in 1962
• 10001+ employees

Qualifications

• Active Top Secret/SCI Clearance
• BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years
• Demonstrated experience working with large, complex datasets and enterprise-level data environments
• Experience utilizing Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms
• Proficiency with Python for data engineering, automation, analytics, and data transformation activities
• Experience developing interactive dashboards and data visualization products using Power BI or similar business intelligence platforms
• Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics solutions to support operational decision-making
• Knowledge of ETL/ELT processes, data integration methodologies, database management, and data architecture principles
• Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources
• Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, data products, and executive-level briefings
• Ability to translate complex analytical findings into concise, actionable recommendations for senior military and civilian leadership
• Experience developing performance metrics, analytical frameworks, and decision-support products
• Proven ability to collaborate with cross-functional teams in dynamic operational environments
• Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations
• Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems
• Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems
• Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices
• Experience integrating AI capabilities into operational workflows and mission support activities
• BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.

Required skills

• Python, Maven Smart System (MSS), Palantir, Power BI, Data Engineering, ETL/ELT, Data Integration, Database Management, Data Architecture, Machine Learning, Data Visualization, Data Mining, Data Scraping, Microsoft Office Suite, Performance Metrics and Analytical Frameworks, Intelligence Data Analysis, Communicating analytical findings

Experience

• 4+ years