Data Engineer Level 3

Small Business Consulting Corporation•Scott AFB, IL

2d•Hybrid

About The Position

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.

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field
5+ years of experience in data engineering, data science, or advanced analytics
Strong proficiency in: Python, SQL
Exposure to: Cloud platforms (AWS, Azure, or GCP)
Exposure to: Big data tools (Spark, Databricks, Hadoop, etc.)
All candidates must be US Citizens capable of obtaining a U.S. security clearance.

Nice To Haves

R or other analytical tools
Experience building and deploying: Data pipelines and ETL/ELT processes
Experience building and deploying: Data models and machine learning solutions
Experience supporting DoD, federal, or defense programs
Familiarity with logistics, transportation, or operational datasets (USTRANSCOM a plus)
Background in: Machine learning / AI
Background in: Natural language processing
Background in: Optimization or simulation modeling
Experience working in Agile or project-based environments

Responsibilities

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
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
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
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