Senior Data Engineer - Clearance Required

LMI Consulting, LLC

Tysons (VA)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

LMI is seeking a Senior Data Engineer to lead multiple data engineering initiatives in our USAF technology solutions portfolio. You will design cloud analytics infrastructure, build data products, and automate pipelines.

This role involves migrating analytics workloads to the cloud, coordinating with USAF IT, and ensuring scalable, secure cloud architectures using AWS services. Domestic location is Tysons, VA; an active Secret clearance is required, and a Bachelor's degree is essential (Master’s

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 in Python, SQL, and 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).
  • 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.

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, 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.
  • Active Secret security clearance required.

Skills

Python
SQL
R
Cloud migration
Data analytics
Project management

Education

Bachelor's degree in Data Science/Information Systems/Computer Science
Master's degree preferred

Tools

AWS
Redshift
Glue
S3
Lambda
RDS

Job description

Overview

LMI is seeking a Senior Data Engineer to lead multiple data engineering initiatives in our growing portfolio of US Air Force (USAF) technology solutions. The Data Engineer will support USAF Integrated Sustainment Optimization, helping USAF to modernize its supply chain optimization models and enterprise data architectures. The Senior Data Engineer will work cross-functionally to build cloud-based infrastructure roadmaps, stand up analytic architecture and services, and enable data product development through automation processes. This role involves hands‑on migration of analytics products to the cloud, liaising with IT teams, and providing technical expertise in cloud-native tools and solutions.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial‑grade platforms and mission‑ready AI to federal agencies at commercial speed.

Leveraging our mission‑ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors‑helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

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, 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.
  • Active Secret security clearance required.
Qualifications

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.

Target salary range: $120,000 - $180,000

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Job Locations

US-VA-Tysons

Equal Opportunity

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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