Data Engineer – Supply Chain

LMI

. Ingest, clean, transform, and integrate parts, assembly, supplier, procurement, inventory, and risk datasets .

Posted 10/12/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $108,301 - $160,654 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data integration, transformation, and analysis, with proficiency in SQL and Python for developing structured datasets and data pipelines. Capable of collaborating with domain experts to produce analytical outputs and document data lineage and limitations.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData Integration ExperienceAnalytical Output ProductionSecurity Clearance Eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationData AnalysisStructured Dataset DesignQuality Assurance ChecksEntity ResolutionGraph AnalysisSupply Network MappingLead-Time ModelingCapacity EstimationSchedule Modeling

Soft Skills

CollaborationCommunication

Industry Keywords

Defense LogisticsProcurementInventorySupplier DatasetsNSNsNIINsCAGE CodesBills of MaterialsAssembly Hierarchies

Tech Stack

Tools & technologies

AssemblyPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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