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Data Engineer
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Robert Half
Asheboro, NC (In Person)
Full-Time
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Job Description
We are looking for an experienced Data Engineer to design and support data exchange solutions that connect external business partners with internal systems. This role will mainly work remotely with different office locations. We are looking for a candidate who lives in NC, within 2 hours of Greensboro, NC. This role focuses on building reliable integration processes, transforming structured files and API-based data, and ensuring critical information is available for reporting and operational use. The ideal candidate brings strong technical depth in data movement and troubleshooting, along with a practical understanding of manufacturing and supply chain workflows.
Responsibilities:
- Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures.
- Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12.
- Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement.
- Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance.
- Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing.
- Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making.
- Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions.
- Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats.
- Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention.