Data Engineer – Supply Chain

🕒 October 12

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $108.3k - $160.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔗 Supply Chain

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Ingest, clean, transform, and integrate parts, assembly, supplier, procurement, inventory, and risk datasets • Develop methods to match part numbers, NSNs/NIINs, CAGE codes, drawing identifiers, and other inconsistent records • Build and maintain a structured assessment dataset connecting parts to higher assemblies, sources, evidence, risks, and actions • Automate repeatable screening and data quality checks while routing ambiguous matches for analyst review • Document data lineage, refresh dates, matching logic, and confidence measures • Develop analytical queries and views surfacing long lead times, supplier concentration, stock-outs, delivery delays, and other potential constraints • Partner with domain experts to develop and validate lead-time, capacity, or schedule estimates • Support rolling updates as new parts lists, procurement records, and supplier information become available • Translate user needs into practical data products and explain underlying-data limitations

🎯 Requirements

• Experience integrating, transforming, and analyzing data from multiple sources • Proficiency in SQL and Python or comparable data processing tools • Experience designing structured datasets, data pipelines, and quality assurance checks • Ability to resolve inconsistent identifiers and document matching methods and exceptions • Experience producing analytical outputs usable by nontechnical stakeholders • Strong collaboration and communication skills, including ability to work with subject matter experts • Ability to document assumptions, data provenance, and analytical limitations • Applicants must meet eligibility requirements for a U.S. Government security clearance • Only US Citizens are eligible for a security clearance • Applicants must have a security clearance or be eligible for one • Preferred: experience with defense logistics, procurement, inventory, or supplier datasets • Preferred: familiarity with NSNs/NIINs, CAGE codes, bills of materials, and assembly hierarchies • Preferred: experience with entity resolution, graph analysis, or supply network mapping • Preferred: experience developing lead-time, capacity, or schedule models with domain experts