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# Data Engineer / Data Scientist

- **Company:** Small Business Consulting Corporation
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hadoop, Information Lifecycle Management, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Unstructured Data, Feature Engineering, Apache Spark, Information Technology, Data Management, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/02409297-ee7a-4a62-be84-cbaa87169f05/data-engineer-amc-level-one

## About the Role

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

## Description

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, * 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