JIATF 401 Data Engineer

What you will do

• Design, develop, and maintain scalable data pipelines to collect, integrate, process, and manage data from operational, intelligence, and enterprise sources.
• Use 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 improve data quality, accessibility, and usability.
• Create dashboards, reports, data visualizations, and common operating picture products that make complex information actionable.
• Apply AI and machine learning to automate data processing, information extraction, pattern recognition, and predictive analytics.
• Perform data mining, data scraping, and data exploitation to identify relevant information in 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 define data requirements and build analytical solutions aligned to mission objectives.
• Develop 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 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 using data-driven analysis and decision support.
• Stay current on emerging AI technologies, data analytics methods, and mission-relevant data sources.

What you need

• Active Top Secret/SCI clearance to start.
• Education and experience: BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
• Experience working with large, complex datasets in enterprise-level data environments.
• Experience with Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms.
• Proficiency with Python for data engineering, automation, analytics, and data transformation.
• Experience building interactive dashboards and visualizations using Power BI or comparable BI tools.
• Experience leveraging AI-enabled tools, machine learning, or advanced analytics to support operational decision-making.
• Knowledge of ETL/ELT, data integration methodologies, 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 the ability to create technical documentation, analytical reports, data products, and executive-level briefings.
• Ability to translate complex findings into concise, actionable recommendations for senior military and civilian leadership.
• Experience developing performance metrics and analytical frameworks for decision support.
• Proven ability to collaborate with cross-functional teams in dynamic operational environments.

Additional 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.