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Data Engineer AMC Level OneSmall Business Consulting Inc • Shiloh, Illinois, United States
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Data Engineer AMC Level One

Small Business Consulting Inc
  • US
    Shiloh, Illinois, United States
  • US
    Shiloh, Illinois, United States
Postuler Maintenant

À propos

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
1+ 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.
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  • Shiloh, Illinois, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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