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Data Engineer - Clearance RequiredLMI Consulting, LLC • San Antonio, Colorado, United States
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Data Engineer - Clearance Required

LMI Consulting, LLC
  • US
    San Antonio, Colorado, United States
  • US
    San Antonio, Colorado, United States
Postuler Maintenant

À propos

Data Engineer - Clearance Required
Job Locations
US-Remote | US-TX-San Antonio | US-MD-Aberdeen
Job ID
2026-14000
# of Openings
1
Benefit Type
Salaried High Fringe/Full-Time
Overview
We are seeking a Strategic Data Engineer to support a critical Army mission by transforming complex technical data into actionable insights for senior leadership. You will be responsible for building automated data flows that map hardware and software interdependencies, identifying redundant requirements to drive program efficiency, and utilizing advanced modeling techniques to conduct "what-if" drills. The ideal candidate is a master of strategic storytelling; someone who can take deep-set technical data and use it to communicate investment trade-offs and resource needs to high-level stakeholders for our Army clients.
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
Data Integration & Mapping: Design and implement automated workflows to facilitate cross-system data flow. Identify and visualize critical interdependencies between hardware components and software systems across the enterprise. Support the integration of data across programs and the software acquisition pathway to monitor real-time program health.
Redundancy Identification: Analyze large datasets of requirements across multiple programs to pinpoint duplications. Drive consolidation to eliminate waste and streamline operations.
Portfolio & Solution Modeling: Develop and maintain data models that allow for "what-if" scenario planning and enterprise-level ontologies to ensure consistent data definitions across various programs. Assess how changes in one program impact the broader system-of-systems portfolio.
Requirements Traceability: Utilize data-driven "downtracing" methods to refine solution architectures and ensure every requirement is traceable from high-level mission goals down to technical implementation.
Strategic Storytelling: Translate complex data models into compelling narratives, dashboards, and briefings. Clearly communicate project requirements, resource gaps, and the impact of various investment trade-offs to senior Army leadership.
Qualifications
Required Qualifications
Experience: 8+ years of experience in data engineering or architecture, or systems engineering, preferably within a Department of War or Army environment.
Technical Proficiency: Advanced experience with data integration tools and languages (e.g., Python, SQL, or specialized MBSE tools like Cameo or MagicDraw).
Analytical Skills: Proven ability to perform complex data mapping and identify interdependencies in a "system-of-systems" architecture.
Strategic Communication: Exceptional ability to present technical data to non-technical executive audiences, focusing on resource allocation and decision-making.
Education: Bachelor degree in Engineering, Data Science, Computer Science, or a related technical field.
Desirable Qualifications
Certifications: Active INCOSE (ASEP/CSEP), OCSMP model certification, or something related Understanding of human-centered design and UIUX best practices Army Domain Knowledge: Familiarity with Army acquisition processes, CPE models, the Army's modernization priorities, and implementing data governance standards to ensure interoperability Experience building data bridges or integrations between System Modeling tools (e.g., Cameo or Capella/Arcadia) and Analytics platforms (e.g., Vantage) Security Clearance: Active Secret or Top Secret clearance preferred Modeling Expertise: Experience with digital engineering frameworks and requirements management tools (e.g., DOORS) Knowledge of Modular Open Systems Approach (MOSA) standards to ensure data portability and system interoperability
Location
Remote
Clearance
Ability to obtain DoW Secret
Target Salary Range: $101,144 - $174,591
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. #LI-SH1
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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  • San Antonio, Colorado, United States

Compétences linguistiques

  • English
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