Senior Data Engineer/Software Developer - Clearance

Overview

The Senior Data Engineer/Software Developer is a full-time position that will lead the technical implementation for of one of our clients Lifecycle Management Systems. Position is responsible for the end-to-end development of the LMS ecosystem directly working with military stakeholders, logistics experts, and government engineers to ingest complex data streams, build a dynamic operational ontology, and construct role-specific user interfaces

This role requires strong software development experience, analytical reasoning and quantitative skills, the ability to work collaboratively with senior and mid-level developers and subject matter experts, and the capacity to present findings clearly to senior DoD leaders and stakeholders.

Position is fully in-person at client site located on Langley Air Force Base. VA.

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 and data engineering pipeline development.
• Architecting and building robust data pipelines using tools such as Python, PySpark/Pandas, and SQL to ingest data from legacy databases.
• Manage data health, scheduling, and synchronization using platform CI/CD tools.
• Develop low-code/no-code interactive UI tools.
• Implement automated workflows.
• Develop ontology for particular for various systems within the LMS use-case.
• Present analysis and findings to government, industry, and internal stakeholders.
• Work with a team of senior and mid-level developers and subject matter experts to answer project requirements and needs.
• Coordinate with government, industry, and internal stakeholders to gather information, validate findings, and support recommended courses of action.

Qualifications

Required Qualifications

• Bachelors’ degree in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
• 10+ years of experience using analytic tools such as Python, SQL, and Tableau to perform data exploration and analysis.
• 5+ year’s experience building data connectors from legacy systems.
• Experience leading small to medium-size technical teams to deliver analytical products and analyses.
• Strong quantitative, analytical, and research skills.
• Self-directed and detail-oriented, with the ability to complete assigned tasks, adapt to changing work efforts, and manage shifting priorities.
• Active DoD Secret Clearance.

Preferred Qualifications

• Master’s degree in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
• 3+ years developing with Palantir Foundry – experience with Workshop is a big plus.
• Frontend application development using tools such D3.js, Angular, React, JavaScript.
• Previous Experience with DoW Supply Chain or Predictive Maintenance use-cases.

#LI-SH1

Target salary range: $111,426 - $192,890. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

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