JIATF 401 Data Engineer

About the role

CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401).

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.
• Average 4+ years of 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.
• Prominent collaboration with cross-functional teams in dynamic operational environments.

Qualifications

• Active Top Secret/SCI Clearance.
• Bachelor's Degree with 4+ years of experience; Associate's Degree with 8+ years of experience; or High School Diploma/GED with 10+ years of experience.
• 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.
• Prominent collaboration with cross-functional teams in dynamic operational environments.