Factory Data Engineer (Industrial Data)

Location: Office/site only in Charlotte, North Carolina, United States. Candidates must be willing to relocate to Charlotte if not already based in the area.

Company

hirify.global develops energy systems and technologies for power generation, transmission, grid stabilization, storage, transformers, and digital grids.

What you will do

• Design, develop, and maintain scalable data ingestion pipelines and integrations for factory operations.
• Connect MES, SAP, PLM, IIoT connectors, APIs, and other operational and enterprise systems.
• Support the architecture, data flows, and reliable use of the Factory Data Cloud for analytics and digital manufacturing solutions.
• Improve data accessibility and access controls for analysts, process owners, and digital use cases.
• Implement data quality checks, monitor data availability, troubleshoot failures, and address source-system issues.
• Document pipelines, mappings, dependencies, data definitions, and interfaces while coordinating delivery with operations, IT, digitalization teams, system owners, and external vendors.

Requirements

• 5+ years of experience in data engineering, systems integration, industrial data, automation, or a related role, preferably in manufacturing or another operational environment.
• Bachelor’s degree in Computer Science, Data Engineering, Automation, Industrial Systems, Engineering, or a related field, or equivalent practical experience.
• Hands-on experience developing and maintaining data pipelines, integrations, and scalable data infrastructure.
• Strong working knowledge of SQL, APIs, data platforms, and data integration patterns.
• Experience integrating enterprise and operational systems.
• Experience implementing data quality checks, monitoring data availability, troubleshooting integration issues, and maintaining technical documentation.
• Strong problem-solving and systems-thinking skills with a reliable and methodical approach to delivery.
• Ability to communicate effectively with technical and non-technical stakeholders and collaborate across operations, IT, digitalization, and external partners.
• Legal authorization to work in the United States without current or future employer-sponsored work authorization.

Nice to have

• Exposure to MES, SAP, PLM, IIoT, or factory data platforms.
• Experience with Azure-preferred modern cloud data platforms, AWS, Snowflake, Python, SQL, ETL/ELT frameworks, and industrial connectivity technologies such as OPC UA or MQTT.

Culture & Benefits

• On-site collaboration with manufacturing, operations, digitalization, IT data teams, system owners, and external vendors.
• Career growth and professional development opportunities.
• Supportive work culture.
• Company-paid health and wellness benefits, paid time off, and paid holidays.
• 401(k) savings plan with company match, family-building benefits, and parental leave.