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.
Key Responsibilities:
Minimum:
Preferred:
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.
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