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Salary
$130k – $200k per year
Location
In office (Arlington)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match

LMI

LMI is a technology solutions and management consulting enterprise specializing in defense, intelligence, healthcare, and public sector modernization. The company focuses on delivering advanced analytics, AI-enabled software, supply chain logistics, cloud transformation, and digital engineering solutions to federal government agencies. Headquartered in Tysons, Virginia, it operates multiple regional offices across the United States to support defense, space, and homeland security missions.

Overview

LMI is seeking a Staff Data Engineer to build authoritative data products supporting Army logistics operations. This engineer will own the development and sustainment of data pipelines, models, and ontology within Palantir Foundry.

This is a senior individual-contributor role for an engineer who can make architectural decisions, build production systems, and raise the technical standard of the team.

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

  • Own the architecture and implementation of scalable data pipelines and data products.

  • Integrate and transform data from multiple Army and enterprise sources.

  • Develop data models and ontology that support application modernization, reporting, and analysis.

  • Design for data quality, lineage, security, observability, and long-term maintainability.

  • Establish engineering standards for testing, source control, deployment, and operations.

  • Partner with software engineers, product designers, and customer stakeholders.

  • Review technical designs, mentor engineers, and resolve complex data challenges.

Qualifications

Require Qualifications

  • Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent practical experience.

  • Eight or more years of experience building production data systems.

  • Strong proficiency with Python, SQL, and modern data-engineering patterns.

  • Experience designing data pipelines and products on Palantir Foundry or a comparable enterprise data platform.

  • Experience with data modeling, ontology, data quality, and lineage.

  • Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.

  • Experience supporting a Department of War customer.

  • Active Secret clearance.

Desired Qualifications

  • Experience supporting the U.S. Army.

  • Direct experience with Army Vantage.

  • Experience with PySpark or other distributed data-processing technologies.

  • Familiarity with Army ERPs and SAP-based systems.

  • Experience with cloud platforms, DevSecOps, and infrastructure as code.

  • Familiarity with API design and development, backend services, and service orchestration.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. citizens are eligible for a security clearance. For this position, LMI will consider only applicants who currently hold a security clearance.

Target salary range: $130,000-$200,000

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-Arlington
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