Manufacturing Data & MES Engineer

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency. This program operates under U.S. government security requirements;

candidates must be U.S. persons and able to work with Controlled Unclassified Information (CUI).

As the Manufacturing Data & MES Engineer you will own the manufacturing execution and plant-data backbone from a running pilot facility today to a massive 1 million square foot manufacturing facility expansion. You will embed with the vendor team implementing MES on our pilot as the designated knowledge-transfer engineer, close the pilot’s live data-integration gaps, and define the platform-neutral data architecture that survives whatever SCADA,batch,MES, and historian stack the site selects.

As manufacturing scales, you will shape how the MES is implemented from pilot to production. This is a high-impact, high-ownership role requiring deep technicalexpertiseacross manufacturing systems and data engineering.

Responsibilities:

• Embed with the pilot MES implementation as the designated internal knowledge-transfer target with contractual handover criteria; own the system outright after vendor handover, through go-live and stabilization.
• Close the pilot’s data-integration gaps: batch/tag contextualization, historian-to-record mapping, and reliable interface plumbing between plant-floor and business systems.
• Design and operate the plant data architecture: entity models (material, batch, equipment, test results), the interface catalog, and an owned contextualization database independent of any single vendor platform.
• Build andmaintainREST/HTTP integrations between MES, SCADA, laboratory (LIMS-class) systems, and the ERP boundary, with production-grade error handling, idempotency,retries, and logging.
• Define ISA-95 object models and the electronic batch record and material genealogy structure for a make-to-stock magnet manufacturing flow.
• Write the data-access, openness, and database-dependency criteria into the site SCADA/batch/historian/MES platform evaluation, and support structured proofs-of-concept on pilot infrastructure.
• Deliver reporting and self-serve analytics access for process engineering from pilot and production data.
• Establish schema versioning, units/timestamp/identifier discipline, and missing-and-duplicate record handling across all plant data pipelines.

Deliverables You Will Develop, Review, or Support

• Pilot MES configuration and handover documentation, electronic batchrecordand genealogy design
• Canonical entity models, the plant interface catalog, contextualization database schemas, and integration specifications.
• REST interface implementations, ETL/pipeline code with error handling and logging to support the business data engineering team, and interface monitoring dashboards.
• Platform-evaluation data criteria and proof-of-concept results, plus reporting and analytics deliverables for process engineering.

Responsibilities and tasks outlined are not exhaustive and may change asdeterminedby the needs of the business.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 5+ years spanning manufacturing systems (MES/MOM) and data engineering.
• Strong SQL and relational database design (PostgreSQL, SQL Server, or similar) and time-series data handling experience.
• Working knowledge of ISA-95 concepts-production orders, material genealogy, equipment models, batch records-and experience integrating plant-floor systems (historians, SCADA, PLC data) with business systems (ERP).

Must be a U.S. Person due to required access to U.S. export-controlled information or facilities

Preferred Skills

• Ability to synthesize complex and interwoven topics to individual stakeholders and drive adoption, decision-making for defining criticality of what to track and how from an engineering and business perspective.
• Experience in…