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Data Integration Specialist

Job in Spartanburg, Spartanburg County, South Carolina, 29319, USA
Listing for: Robert Half
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Business Intelligence
Job Description & How to Apply Below
We are looking for a Data Integration Specialist to support enterprise data connectivity, reporting, and analytics for a complex Epicor Kinetic environment in Spartanburg, South Carolina. This Long-term Contract position focuses on building dependable data flows, strengthening reporting foundations, and enabling trusted business insights across connected systems. The role partners with cross-functional teams to improve data architecture, maintain secure integrations, and support scalable platforms used for operational and executive decision-making.

Responsibilities:
• Create, deploy, and support data integrations linking Epicor Kinetic with internal platforms, external applications, and third-party business tools.
• Develop and maintain APIs, ETL routines, automated workflows, and data pipelines that ensure consistent and efficient information exchange.
• Assist with data migration and synchronization efforts related to system deployments, version upgrades, and acquired business entities.
• Track integration performance, troubleshoot failures, and resolve data flow bottlenecks or accuracy issues affecting business operations.
• Design and refine data models that provide a reliable foundation for enterprise reporting, analytics, and downstream consumption.
• Build and optimize extraction processes from Epicor Kinetic to improve data availability for warehouse, lake, and Fabric-based environments.
• Support enterprise data platforms, including Data Warehouse, Microsoft Fabric, and Data Lake solutions, to maintain accessibility and performance.
• Prepare and maintain curated datasets used in Power BI dashboards, executive reporting, and operational analysis.
• Establish data quality checks, investigate root causes of information issues, and implement corrective actions to improve trust in reporting.
• Contribute to master data governance practices and recommend effective integration patterns and data architecture standards.
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