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Job Description

LMI is seeking a Senior Data Engineer to lead multiple data engineering initiatives supporting United States Air Force technology solutions. The role focuses on modernizing supply chain optimization models and enterprise data architectures, with an emphasis on cloud-based analytic infrastructure roadmaps, migration, and coordination with IT teams. An active Secret security clearance is required.

Role Overview

The Senior Data Engineer will develop and execute plans to transition existing data infrastructure services into cloud environments. This includes designing integration paths and supporting data automation to improve efficiency, as well as partnering with USAF IT and other stakeholders to support communication and collaboration. The position also includes delivering modernization strategies for existing data analytics infrastructure using cloud-native capabilities.

Key Responsibilities

  • Develop an analytic infrastructure roadmap to move current data infrastructure services to a cloud environment.
  • Design data architectures and integration paths that support analytic and data engineering needs.
  • Support data automation processes to enhance efficiency and streamline operations.
  • Provide project management support to coordinate and execute data engineering initiatives.
  • Develop and implement modernization strategies for existing data analytics infrastructure using cloud-native tools and services.
  • Optimize cloud architecture and infrastructure to improve scalability, security, and cost-efficiency for analytic operations.
  • Collaborate with USAF IT and other entities to facilitate communication and coordination.

Required Qualifications

  • 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, including Python, SQL, and R.
  • Hands-on experience migrating data analytics products to cloud platforms such as AWS.
  • Proficiency with cloud-native tools and services for analytics and data processing, such as AWS Redshift, AWS Glue, S3, Lambda, and RDS.
  • 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 providing project management support within a technical or data analytics context.
  • Ability to liaise effectively with IT and other organizational entities.
  • Active Secret security clearance required, including a DoD Secret clearance for this position.

Technologies

  • AWS
  • Python
  • SQL
  • R
  • AWS Redshift
  • AWS Glue
  • S3
  • Lambda
  • RDS
  • Terraform
  • CloudFormation

Education

Bachelor’s degree in Data Science, Information Systems, Computer Science, or a related field.

Location and Compensation

Location: Tysons, VA (onsite).
Salary: USD $120,000 - $180,000 per year.

Preferred Qualifications

  • 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 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 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.

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