JIATF 401 Data Engineer
CACI Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at CACI. Alexandria · full-time · $86,600–$181,800 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain pipelines that bring together operational, intelligence and enterprise data
- Use Python, analytics platforms and AI tools to process information and support mission decisions
- Turn complex datasets into dashboards, reports and operating-picture visualizations for decision-makers
- Create data models, databases and performance measures to assess capabilities and mission results
- Brief senior leaders and document data practices, while protecting data quality and security
What you bring
- An active Top Secret/SCI clearance
- A bachelor's degree plus four years of experience, an associate degree plus eight years, or high school completion plus ten years
- Experience with large datasets, data integration platforms such as Palantir, Python, and dashboarding tools such as Power BI
- Knowledge of data pipelines, databases, and architecture, plus experience handling structured and unstructured information
- Experience applying AI or advanced analytics and communicating findings to senior leaders
Who this fits
This role suits a data engineer who can turn operational and intelligence information into analysis for C-UAS activities, assessments and acquisition decisions. You should be comfortable working with engineers, analysts, operators and other stakeholders. The role is based in Alexandria and requires an active TS/SCI clearance, with continental U.S. travel of up to half the time.
From the employer
The Opportunity:
CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401). The Data Engineer will design, develop, and maintain data architectures, analytical pipelines, and AI-enabled solutions that transform large volumes of operational, intelligence, and mission data into actionable insights for decision-makers. This position requires expertise in aggregating, organizing, analyzing, and visualizing structured and unstructured data from multiple sources to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Engineer will leverage advanced analytics, automation, and artificial intelligence tools to identify relevant information, uncover trends, and deliver data products that enable informed operational and procurement decisions.
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.
- Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability across the organization.
- Develop dashboards, reports, data visualizations, and common operating picture products that communicate complex information in a clear and actionable manner.
- Leverage artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics.
- Conduct data mining, data scraping, and data exploitation activities to identify relevant information from large volumes of 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 identify data requirements and develop analytical solutions supporting mission objectives.
- Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes.
- Produce technical documentation, data management plans, analytical reports, and executive-level briefings to support 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 through data-driven analysis and decision support.
- Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to enhance organizational capabilities.
Qualifications:
Required:
- Active Top Secret/SCI Clearance.
- BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
- 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.
- Proven ability to collaborate with cross-functional teams in dynamic operational environments.
Desired:
- 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.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$86,600 - $181,800CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering$80k+
Find me workBy the team behind dataroles.