Data Engineer – Supply Chain

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Ingest, cleanse, transform, and integrate datasets related to parts, assembly, suppliers, procurement, inventory, and risks.

• Create methods to align part numbers, NSNs/NIINs, CAGE codes, drawing identifiers, and other variable records.

• Construct and sustain a structured assessment dataset that links parts to higher assemblies, sources, evidence, risks, and actions.

• Automate recurring screening and data quality evaluations while directing ambiguous matches for analyst review.

• Document data lineage, refresh dates, matching logic, and confidence metrics.

• Develop analytical queries and views that highlight long lead times, supplier concentration, stock-outs, delivery delays, and other possible constraints.

• Collaborate with domain experts to create and validate lead-time, capacity, or schedule estimates.

• Facilitate rolling updates as new parts lists, procurement records, and supplier information become accessible.

• Convert user needs into functional data products and clarify underlying data limitations.

⛳️ Requirements

• Proven experience in integrating, transforming, and analyzing data from various sources.

• Expertise in SQL and Python or similar data processing tools.

• Experience in designing structured datasets, data pipelines, and quality assurance processes.

• Capability to resolve inconsistent identifiers and document matching techniques and exceptions.

• Experience in generating analytical outputs that are comprehensible to nontechnical stakeholders.

• Strong collaborative and communication abilities, including the capacity to engage with subject matter experts.

• Proficient in documenting assumptions, data provenance, and analytical limitations.

• Applicants must fulfill eligibility criteria for a U.S. Government security clearance.

• Only U.S. Citizens are eligible for a security clearance.

• Candidates must either possess a security clearance or be eligible for one.

• Preferred: experience in defense logistics, procurement, inventory, or supplier datasets.

• Preferred: familiarity with NSNs/NIINs, CAGE codes, bills of materials, and assembly hierarchies.

• Preferred: experience in entity resolution, graph analysis, or supply network mapping.

• Preferred: experience in developing lead-time, capacity, or schedule models with domain experts.

🏝️ Benefits

• Comprehensive health and wellness plans.

• Competitive salary with performance bonuses.

• Opportunities for professional development and training.

• Supportive work environment with a focus on teamwork.

• Flexible working hours and remote work options.