JIATF 401 Data Engineer
CACI International2 months ago
Alexandria, VA, USAMid Level
H1B sponsor
Base Salary
$87k - $182k/yr
Responsibilities
- Design, develop, and maintain scalable data pipelines integrating operational, intelligence, and enterprise data sources.
- Use Maven Smart System, Palantir, Power BI, Python, and AI-enabled analytical tools for mission analysis and decision support.
- Aggregate, cleanse, normalize, transform, scrape, mine, and exploit structured and unstructured datasets.
- Develop data models, databases, data dictionaries, metadata repositories, dashboards, reports, visualizations, and common operating picture products.
- Apply artificial intelligence, machine learning, automation, pattern recognition, and predictive analytics to operational data.
- Develop performance metrics and analytical frameworks for operational effectiveness, capability gaps, system performance, and mission outcomes.
- Collaborate with engineers, analysts, operators, and stakeholders to define data requirements and deliver analytical solutions.
- Produce technical documentation, data management plans, analytical reports, and executive-level briefings.
- Support operational assessments, technology evaluations, capability demonstrations, acquisition efforts, and data-driven recommendations.
- Ensure data integrity, security, compliance, and governance while improving data architectures, workflows, and analytical methodologies.
Requirements
- Active Top Secret/SCI clearance is required.
- A BA/BS with 4+ years of experience, AA/AS with 8+ years, or HS/GED with 10+ years is required.
- Experience with large, complex datasets and enterprise-level data environments is required.
- Experience with Maven Smart System, Palantir, or similar data integration and analytics platforms is required.
- Proficiency with Python for data engineering, automation, analytics, and data transformation is required.
- Experience creating interactive dashboards and data visualizations with Power BI or similar business intelligence platforms is required.
- Experience using AI-enabled tools, machine learning applications, or advanced analytics for operational decision-making is required.
- Knowledge of ETL/ELT, data integration, database management, and data architecture principles is required.
- Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data is required.
- Strong Microsoft Office Suite proficiency and the ability to create technical documentation, analytical reports, data products, and executive briefings are required.
- Ability to translate complex analytical findings into concise recommendations and collaborate in dynamic operational environments is required.
- Desired qualifications include Department of Defense, Intelligence Community, Homeland Security, C-UAS, CJADC2, data fusion, sensor data, mission command, cloud data environment, distributed computing, and enterprise data governance experience.
Benefits
- Full-time regular employment with up to 50% travel within the continental United States.
- Flexible time off, healthcare, wellness, financial, retirement, family support, continuing education, learning and development, and other time-off benefits.
- CACI offers flexibility intended to support work-life balance and provides access to learning resources.
Tech Stack
Categories
Data Engineering
About CACI International
CACI International is a public government contractor that delivers enterprise IT, cybersecurity, electronic warfare, space, and intelligence solutions to U.S. defense, intelligence, and federal civilian customers. It provides systems engineering, software and data services, and mission support across C4ISR and business systems, primarily through long-term government contracts. Founded in 1962 and headquartered in Reston, Virginia, CACI trades on the NYSE under the ticker CACI.