Mission-Critical Data Engineer: AI Pipelines & Dashboards

CACI International Inc

Alexandria (VA)

On-site

USD 86,600 - 181,800

Full time

14 days+
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Job summary

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 for transforming diverse data into actionable insights for decision-makers.

Responsibilities include building scalable data pipelines, dashboards using Power BI, and applying AI/ML for automation and analytics to inform operational and procurement decisions within C-UAS contexts.

Qualifications

  • BA/BS with 4+ years experience in data engineering or related field.
  • Experience with large, complex datasets and enterprise data environments.
  • Proficiency with Python for data engineering, automation, analytics, and data transformation.
  • Experience developing dashboards and data visualizations using Power BI.
  • Experience applying AI/ML tools to support operational decision-making.

Responsibilities

  • Design, develop, and maintain scalable data pipelines from multiple sources.
  • Develop dashboards, reports, and data visualizations for decision-makers.
  • Aggregate, clean, normalize, and transform large datasets for accessibility and usability.
  • Leverage AI-enabled tools to automate data processing and predictive analytics.
  • Collaborate with engineers, analysts, and stakeholders to identify data requirements.

Skills

Python
Power BI
MSS/Palantir
ETL/ELT
Data modeling

Education

BA/BS degree
AA/AS degree
HS/GED

Tools

Maven Smart System (MSS)
Palantir

Job description

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 for transforming diverse data into actionable insights for decision-makers.

Responsibilities include building scalable data pipelines, dashboards using Power BI, and applying AI/ML for automation and analytics to inform operational and procurement decisions within C-UAS contexts.

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