> Markdown version of [/jobs/ext/3967170-senior-data-engineer-clearance-required](https://www.wearedevelopers.com/jobs/ext/3967170-senior-data-engineer-clearance-required). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer - Clearance Required

- **Company:** LMI
- **Location:** Tysons, VA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Cloud Engineering, Information Systems, System Configuration, Data Architecture, Information Engineering, Data Infrastructure, Data Migration, R (Programming Language), Python (Programming Language), Cloud Services, SQL Databases, Data Processing, Cloud Platform System, Cloudformation, Infrastructure Automation Frameworks, Information Technology, Modeling and Simulation, Data Analytics, Cloud Migration, Terraform, Amazon Redshift, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://diversityjobs.com/career/18747862/Senior-Data-Engineer-Clearance-Required-Virginia-Tysons

## About the Role

Minimum:

 * Bachelor's degree in Data Science, Information Systems, Computer Science, or a related field.
 * Experience with modeling and simulation solutions for supply chain optimization.
 * Proficiency in data analytics tools and programming languages (e.g., Python, SQL, R).
 * Proven hands-on experience in migrating data analytics products to cloud platforms such as AWS.
 * Proficiency in cloud-native tools and services for analytics and data processing (e.g., AWS Redshift, Glue, S3, Lambda, RDS, etc.).
 * Strong technical skills in configuring, deploying, and managing cloud infrastructure components relevant to data analytics.
 * Strong understanding of data automation and analytic architecture design.
 * Experience in project management within a technical or data analytics context.
 * Ability to liaise effectively with IT and other organizational entities.
 * Active Secret security clearance required.

Preferred:

 * Master's degree in a relevant field.
 * Relevant certifications in cloud computing, data engineering, or project management (e.g., AWS Certified Solutions Architect, Certified Data Analyst, PMP).
 * Experience working with USAF cloud environment capabilities.
 * Experience in designing and executing cloud modernization initiatives for legacy analytic systems.
 * Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments and configurations.
 * Expertise in optimizing cloud environments for performance, security, and cost, with a focus on analytics workloads.
 * Strong problem-solving skills and ability to deliver innovative solutions.
 * Ability to manage multiple projects and prioritize tasks effectively.

A DoD Secret clearance is required for this position. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. LMI will only consider applicants with current security clearances. Please note that only U.S. citizens are eligible for a security clearance.

## Description

Develop an analytic infrastructure roadmap to transition current data infrastructure services to a cloud environment.

 * Design supporting data architectures and integration paths
 * Support data automation processes to enhance efficiency and streamline operations.
 * Provide project management support, ensuring effective coordination and execution of data engineering services initiatives.
 * Develop and implement modernization strategies for existing data analytics infrastructure, utilizing cloud-native tools and services.
 * Optimize cloud architecture and infrastructure to improve scalability, security, and cost-efficiency for analytic operations.
 * Liaise with USAF IT and other entities to facilitate communication and collaboration.