Data Engineer – Supply Chain

Job 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