Remote Data Engineer — Supply Chain & Analytics

LMI; Tysons (VA); Híbrido; USD 108.000 - 161.000; Jornada completa

Descripción de la vacante

LMI, based in Tysons, Virginia, seeks a Supply Chain Data Analyst / Engineer to integrate and analyze complex data across parts, supplier, procurement, inventory, and risk streams for industrial base decisions.

You will build repeatable workflows linking parts data to government and commercial sources, resolve identifiers, and surface constraints at scale, with close collaboration from domain experts.

Formación

• 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 that can be reviewed and used by nontechnical stakeholders.
• Strong collaboration and communication skills, including the ability to work with subject matter experts.
• Ability to document assumptions, data provenance, and analytical limitations.

Responsabilidades

• 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 that connects 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 that surface 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 where appropriate.
• Support rolling updates as new parts lists, procurement records, and supplier information become available.
• Translate user needs into practical data products and explain the limitations of the underlying data.

Conocimientos

SQL

Python

Data integration

Data pipelines

Data quality checks

Collaboration

Documentation

Descripción del empleo

LMI, based in Tysons, Virginia, seeks a Supply Chain Data Analyst / Engineer to integrate and analyze complex data across parts, supplier, procurement, inventory, and risk streams for industrial base decisions.

You will build repeatable workflows linking parts data to government and commercial sources, resolve identifiers, and surface constraints at scale, with close collaboration from domain experts.