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Data Engineer - Clearance Required

LMI Consulting, LLC
United States, Virginia, Fort Belvoir
May 06, 2025

Data Engineer - Clearance Required
Job Locations

US-VA-Fort Belvoir


Job ID
2025-12680

# of Openings
2

Category
Data/Analytics



Overview

LMI is seeking a Data Engineer to support a client located at Fort Belvoir, VA.



Responsibilities

This Data Engineer will work with a team of data scientists, data engineers, and data analysts to support advanced analytics projects for Army customers. Responsibilities include:

    Support a team developing data products within the system / software development life cycle from requirements definition, to architecture, design, implementation, and test, through deployment and operations and support.
  • Defining / developing techniques to integrate, consolidate, and structure data for analytical use, to include ability to inform on data aggregation and associated security implications, and the ability to leverage logical data models to support data source mappings.
  • Identifying data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions.
  • Preparing strategic and tactical recommendations with sufficient rationale to advise senior leader decisions relative to the applicability and application of data technologies.
  • Performing assessments relative to data architecture, design, and implementation, and identify system impacts associated with new requirements, and requirements changes.
  • Contribute to technical collaboration with internal and external stakeholders.
  • Interfacing with the Army's numerous functional data experts to understand and replicate the Army's authoritative business logic and data transformations.
  • Travel: Minimal, less than 10%


Qualifications

MINIMUM QUALIFICATIONS:

  • DoD Secret clearance required. Must have at a minimum an active Interim Secret Clearance.
  • Bachelor's degree in computer science, engineering, public policy or related field.
  • 3+ years of related work experience.
  • Experience coding and performing data transformations in PySpark.
  • Experience implementing cloud-based data and database technologies.
  • Experience with multiple databases and associated schemas.
  • Ability to leverage structured and unstructured data.
  • Experience applying data standards and best practices while adhering to applicable Department of Defense (DoD) laws, policies, directives, mandates and guidance, to include data protection of sensitive information.

PREFERRED QUALIFICATIONS:

  • Graduate degree in computer science, engineering, or related field.
  • Experience working with data analysis tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
  • Experience with Palantir's Foundry platform.
  • Experience with US Army data.

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.

The salary range for this position is - $148,776-$207,000



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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