Data Engineer AMC Level Two

This position requires a security clearance. All candidates must be US Citizens capable of obtaining a U.S. security clearance.

Position Overview

We are seeking a highly skilled Data Engineer / Data Scientist to support mission-critical analytics initiatives at Scott Air Force Base. This role supports enterprise-level decision-making by designing, developing, and deploying advanced data solutions that enable operational insight across complex defense systems.

You will work hands-on across the full data lifecycle, leveraging modern tools and techniques including machine learning, statistical modeling, and large-scale data engineering to deliver impactful, mission-aligned solutions.

What You'll Do

Data Engineering & Advanced Analytics

• Design, build, and maintain scalable data pipelines and analytics solutions across large and complex datasets


• Apply advanced analytical methods including statistical modeling, optimization, machine learning, and predictive analytics


• Develop data products using modern technologies (e.g., Python, SQL, cloud platforms, big data frameworks)


• Integrate structured and unstructured data to support operational and strategic decision-making

Full Data Lifecycle Ownership

• Execute the end-to-end data science lifecycle:
  
  
  
  • Problem definition
  
  
  • Data acquisition and preparation
  
  
  • Exploratory analysis and feature engineering
  
  
  • Model development and validation
  
  
  • Deployment, monitoring, and continuous improvement
  
  
  
  

Solution Development & Innovation

• Research, evaluate, and implement emerging analytics tools and technologies


• Develop automated and scalable solutions using cloud platforms, APIs, and data services


• Identify patterns, trends, and anomalies in high-volume datasets to inform mission outcomes

Mission & Stakeholder Support

• Collaborate closely with government stakeholders, program teams, and cross-functional partners


• Translate complex technical findings into actionable insights for leadership


• Support mission planning, logistics, and operational analytics initiatives

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field


• 3+ years of experience in data engineering, data science, or advanced analytics


• Strong proficiency in:
  
  
  
  • Python, SQL (required)
  
  
  • R or other analytical tools (preferred)
  
  
  
  


• Experience building and deploying:
  
  
  
  • Data pipelines and ETL/ELT processes
  
  
  • Data models and machine learning solutions
  
  
  
  


• Exposure to:
  
  
  
  • Cloud platforms (AWS, Azure, or GCP)
  
  
  • Big data tools (Spark, Databricks, Hadoop, etc.)
  
  
  
  

Preferred Experience

• Experience supporting DoD, federal, or defense programs


• Familiarity with logistics, transportation, or operational datasets (USTRANSCOM a plus)


• Background in:
  
  
  
  • Machine learning / AI
  
  
  • Natural language processing
  
  
  • Optimization or simulation modeling
  
  
  
  


• Experience working in Agile or project-based environments

Work Environment

• Hybrid Potential: 3 days onsite at Scott AFB, IL / 2 days remote


• Collaborative team environment supporting mission-driven work


• Direct engagement with government stakeholders

What Makes This Role Unique

• Direct impact on national defense and global logistics operations


• Opportunity to work with large-scale, mission-critical datasets


• Blend of data engineering, analytics, and applied data science


• High visibility with mission stakeholders and leadership

Travel required

· Commute to and from Scott AFB, IL

Past experiences that may benefit this role are listed below.

· Military Operations

· Tech Industry Experience

· Program / Project Management

SBCC is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, pregnancy, or any other protected characteristics as outlined by federal, state or local laws.