About The Position

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

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 with 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 services, such as AWS Redshift, Glue, S3, Lambda, and RDS.
  • Technical skills configuring, deploying, and managing cloud infrastructure components relevant to data analytics.
  • Strong understanding of data automation and analytic architecture design.
  • Experience managing projects in a technical or data analytics context.
  • Ability to liaise effectively with IT and other organizational entities.
  • Current active Secret security clearance; 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 analytics workload performance, security, and cost.
  • Strong problem-solving skills and ability to deliver innovative solutions.
  • Ability to manage multiple projects and prioritize tasks effectively.

Responsibilities

  • Develop a roadmap for transitioning current data infrastructure services to a cloud environment.
  • Design supporting data architectures and integration paths.
  • Support data automation processes to improve efficiency and streamline operations.
  • Provide project management support and coordinate execution of 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.
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