JIATF 401 Data Engineer

About the role

CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401). The engineer designs, develops and maintains data architectures, analytical pipelines and AI-enabled solutions that turn large volumes of operational, intelligence and mission data into actionable insights. The position is based in Alexandria, is full time, requires up to 50% travel within the continental US and a minimum TS/SCI clearance.

Key responsibilities

• Design, develop and maintain scalable data pipelines that collect, integrate, process and manage data from operational, intelligence and enterprise sources.
• Use Maven Smart System (MSS), Palantir, Power BI, Python and AI-enabled tools for mission analysis and decision-making.
• Aggregate, clean, normalize and transform large datasets to ensure data quality and usability.
• Develop dashboards, reports, data visualizations and common operating picture products.
• Leverage AI and machine learning to automate data processing, information extraction, pattern recognition and predictive analytics.
• Conduct data mining, data scraping and data exploitation to find relevant information in structured and unstructured data.
• Maintain data models, databases, data dictionaries and metadata repositories.
• Collaborate with engineers, analysts, operators and stakeholders on data requirements and analytical solutions.
• Develop performance metrics and analytical frameworks to assess operational effectiveness and capability gaps.
• Produce technical documentation, data management plans, analytical reports and executive briefings.
• Ensure data integrity, security and compliance with applicable policies and governance requirements.

Required profile

• Active Top Secret/SCI clearance.
• Degree: BA/BS with 4+ years, AA/AS with 8+ years, or HS/GED with 10+ years.
• Experience with large, complex datasets and enterprise-level data environments.
• Experience with MSS, Palantir or similar data integration and analytics platforms.
• Experience building dashboards and data visualizations with Power BI or similar tools.
• Experience using AI tools, machine learning and advanced analytics for operational decision-making.
• Knowledge of ETL/ELT, data integration, database management and data architecture.
• Strong Microsoft Office skills, including technical documentation and executive briefings.
• Ability to translate complex findings into actionable recommendations for senior leadership.

Required skills

• Python for data engineering, automation and data transformation
• Power BI or similar business intelligence tools
• ETL/ELT processes and data modeling
• Data scraping, cleansing and exploitation of structured and unstructured data

What we offer

• Proposed pay range of $86,600 - $181,800, depending on location, experience and skills.
• Healthcare, wellness, financial, retirement, family support, continuing education and time-off benefits.
• Flexible time off and learning resources.