Data Engineer/Analyst

Role Overview

The Data Engineer/Analyst will design, develop, and maintain data architectures, analytical pipelines, and AI-enabled solutions to transform large volumes of operational, intelligence, and mission data into actionable insights for decision-makers.

What You Will Do

Design, develop, and maintain scalable data pipelines, utilize advanced analytics and AI tools, aggregate and transform large datasets, develop dashboards and data visualizations, and leverage AI and machine learning to automate data processing and predictive analytics.

Why It Might Be a Fit

The ideal candidate will have expertise in aggregating, organizing, analyzing, and visualizing structured and unstructured data, proficiency in Python, experience with data integration and analytics platforms, and the ability to translate complex analytical findings into concise, actionable recommendations.

Requirements

• 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

Benefits

• Healthcare
• Wellness
• Financial
• Retirement
• Family support
• Continuing education
• Time off benefits