Data Engineer, Manufacturing Data & CORE Platform

National Center for Defense Manufacturing & Machining; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

National Center for Defense Manufacturing & Machining seeks a Data Engineer to lead integration and structuring of project data within the CORE repository for America Makes. The role focuses on maintaining data quality, enabling searchability, and ensuring data usability across multiple projects.

The ideal candidate brings 5–10 years of experience in manufacturing data pipelines and data architectures, with strong communication and leadership skills to drive data initiatives across teams.

Qualifications

• 5-10 years of relevant experience in developing and managing manufacturing data pipelines, data management practices, and database architectures.
• Strong time management skills and ability to plan, execute, and communicate changes.
• Ability to lead discussions when needed and recognize the value of diverse input.
• Willingness to ask questions when matters are unfamiliar or unclear.
• Strong communication about project plans, risk, and technical details.

Responsibilities

• Understand, develop, and improve data management principles for the America Makes program.
• Facilitate integration, structuring, and storage of project data within CORE.
• Identify data management gaps and deliver methods to enhance data quality and reuse; drive continuous improvement.
• Be aware of data pedigree, data structures, essential variables, and data models for advanced manufacturing.

Skills

Data pipelines

Data management

Database architectures

Communication skills

Leadership facilitation

Strategic thinking

Team collaboration

Job description

National Center for Defense Manufacturing & Machining seeks a Data Engineer to lead integration and structuring of project data within the CORE repository for America Makes. The role focuses on maintaining data quality, enabling searchability, and ensuring data usability across multiple projects.

The ideal candidate brings 5–10 years of experience in manufacturing data pipelines and data architectures, with strong communication and leadership skills to drive data initiatives across teams.