Senior Data Engineer - Clearance Required

LMI • Tysons, VA

1d • $120,000 - $180,000

About The Position

LMI is seeking a Senior Data Engineer to lead data engineering initiatives supporting its US Air Force Integrated Sustainment Optimization work. The role will help modernize supply chain optimization models and enterprise data architectures by developing cloud-based infrastructure roadmaps, establishing analytic architecture and services, and enabling data product development through automation. The position includes hands-on migration of analytics products to the cloud, coordination with IT teams, and technical guidance on cloud-native tools and solutions.

LMI is a digital solutions provider focused on accelerating government impact through innovation and speed. It provides technology, prototypes, commercial-grade platforms, and mission-ready AI to federal agencies, serving the defense, space, healthcare, and energy sectors. The position is located in Tysons, Virginia.

The role requires an active DoD Secret clearance. Applicants must have a current security clearance and be eligible to access classified information; only U.S. citizens are eligible for a security clearance. The target salary range is $120,000–$180,000, with individual compensation determined by factors including location, internal equity, business considerations, client contract requirements, and candidate qualifications.

Requirements

• 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 such as Python, SQL, or R.
• Hands-on experience migrating data analytics products to cloud platforms such as AWS.
• Proficiency with cloud-native analytics and data-processing tools and services, such as AWS Redshift, Glue, S3, Lambda, and RDS.
• Strong technical skills configuring, deploying, and managing cloud infrastructure components relevant to data analytics.
• Strong understanding of data automation and analytic architecture design.
• Project management experience in a technical or data analytics context.
• Ability to liaise effectively with IT and other organizational entities.
• Active DoD Secret security clearance; applicants must have a current clearance and meet eligibility requirements for access to classified information.
• U.S. citizenship, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

• Master’s degree in a relevant field.
• Certifications in cloud computing, data engineering, or project management, such as AWS Certified Solutions Architect, Certified Data Analyst, or PMP.
• Experience working with USAF cloud environment capabilities.
• Experience designing and executing cloud modernization initiatives for legacy analytic systems.
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Expertise optimizing cloud environments for performance, security, and cost, especially for analytics workloads.
• Strong problem-solving skills and ability to deliver innovative solutions.
• Ability to manage multiple projects and prioritize tasks effectively.

Responsibilities

• 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 to coordinate and execute data engineering services initiatives.
• Develop and implement modernization strategies for existing data analytics infrastructure using cloud-native tools and services.
• Optimize cloud architecture and infrastructure for scalability, security, and cost-efficiency in analytic operations.
• Liaise with USAF IT and other entities to facilitate communication and collaboration.
• Migrate data analytics products to cloud platforms and provide technical expertise in cloud-native tools and solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior