JIATF 401 Data Engineer

CACI is hiring a JIATF 401 Data Engineer in Alexandria, VA (onsite) to help turn operational and intelligence data into actionable insights. This role focuses on building scalable data architectures, analytical pipelines, and AI-enabled solutions that support C-UAS operations, assessments, acquisition decisions, and strategic planning. The position offers a full-time, regular employee role with competitive compensation ranging from USD 86,600 to 181,800 per year.

What you’ll do

Design, develop, and maintain scalable data pipelines that gather, integrate, process, and manage information from multiple operational, intelligence, and enterprise sources. You will aggregate, clean, normalize, and transform large datasets to improve data quality, accessibility, and usability across the organization.

Use mission-focused tools and platforms such as Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical capabilities to support mission analysis, operational assessments, and decision-making. You will build dashboards, reports, data visualizations, and common operating picture products that communicate complex information clearly and in an actionable format.

• Leverage artificial intelligence and machine learning to automate data processing, information extraction, pattern recognition, and predictive analytics
• Perform data mining, data scraping, and data exploitation on both structured and unstructured data to find relevant information
• Develop and maintain data models, databases, data dictionaries, and metadata repositories to support enterprise data management
• Collaborate with engineers, analysts, operators, and stakeholders to define data requirements and deliver analytical solutions for mission objectives
• Create performance metrics and analytical frameworks to evaluate operational effectiveness, capability gaps, system performance, and mission outcomes
• Produce technical documentation, data management plans, analytical reports, and executive-level briefings for senior military and civilian leadership
• Ensure data integrity, security, and compliance with applicable policies, standards, and governance
• Identify opportunities to improve data architectures, automation workflows, and analytical methodologies
• Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts with data-driven analysis
• Stay current on emerging AI technologies, data analytics methods, and mission-relevant data sources to strengthen organizational capability

Requirements

• Active Top Secret/SCI Clearance (minimum clearance required to start: TS/SCI)
• BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years
• Experience working with large, complex datasets and enterprise-level data environments
• Experience using Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms
• Proficiency with Python for data engineering, automation, analytics, and transformation
• Experience building interactive dashboards and visualizations using Power BI or similar business intelligence tools
• Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics for operational decision-making
• Knowledge of ETL/ELT, data integration methods, database management, and data architecture principles
• Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources
• Strong Microsoft Office Suite skills, including technical documentation, analytical reports, data products, and executive-level briefings
• Ability to translate complex findings into concise, actionable recommendations for senior leadership
• Experience developing performance metrics and analytical frameworks and producing decision-support products
• Proven ability to collaborate with cross-functional teams in dynamic operational environments

Tools and technologies

• Maven Smart System (MSS)
• Palantir
• Power BI
• Python
• Artificial intelligence
• Machine learning
• ETL/ELT
• Microsoft Office Suite

Benefits and support

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

Travel and role details

• Travel: Continental US
• Percentage of travel required: Up to 50%
• Job category: Information Technology
• Time type: Full time
• Employee type: Regular

Desired experience

• 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