Data Engineer - Manufacturing QA & Automation (Onsite)

OMG Technologies; Greenville (NC); On-site; USD 69,000 - 76,000; Full time

Job summary

OMG Technologies is seeking a Data Engineer for Manufacturing Quality & Automation, onsite in Greenville, NC. You will design scalable data pipelines, automate quality and business processes, and build Power BI dashboards to deliver actionable insights for QA and operations.

The ideal candidate has 5+ years in data engineering or manufacturing analytics, deep SQL, and experience with UiPath or Power Automate, ERP integrations, and data governance.

Qualifications

• Minimum 5 years in Data Engineering, manufacturing analytics, QA, or automation.
• Experience in manufacturing/production environments.
• Strong QA processes knowledge including CAPA and process validation.
• Proficiency in SQL and relational databases.
• Experience with ETL/ELT and data integration.
• Hands-on with Power BI, DAX, Power Query, and data visualization.
• Experience with UiPath or Power Automate.
• Knowledge of supply chain processes.
• Experience with ERP systems such as SAP or Oracle.
• Programming in Python or PySpark.
• Experience with data governance and data quality.
• Must be able to work 5 days onsite in Greenville, NC.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Integrate data from manufacturing systems, MES, ERP, quality systems, IoT devices, and enterprise applications.
• Develop and maintain data models, data warehouses, and lakehouse architectures.
• Ensure data quality, accuracy, governance, and security across all data assets.
• Optimize data processing workflows for performance and reliability.
• Analyze manufacturing and quality data to identify trends, defects, and process improvements.
• Support quality initiatives through data validation, root cause analysis, and KPI tracking.
• Develop manufacturing quality metrics and reporting frameworks.
• Collaborate with QA teams to establish automated monitoring and data quality checks.
• Design and develop RPA solutions using UiPath or Power Automate.
• Automate manual business and quality processes to improve productivity and reduce errors.
• Integrate automation workflows with ERP, quality systems, SharePoint, Teams, and other enterprise applications.
• Monitor and enhance automation performance and reliability.
• Develop Power BI dashboards, semantic models, KPIs, and drill-down analytics.
• Enable self-service reporting and business insights for manufacturing and quality stakeholders.
• Optimize report performance and governance.

Skills

Data engineering

Manufacturing analytics

Quality systems

SQL

Python

PySpark

Power BI

DAX

Power Query

UiPath

Power Automate

ERP systems

Tools

UiPath

Power Automate

SAP

Oracle

PySpark

Job description

OMG Technologies is seeking a Data Engineer for Manufacturing Quality & Automation, onsite in Greenville, NC. You will design scalable data pipelines, automate quality and business processes, and build Power BI dashboards to deliver actionable insights for QA and operations.

The ideal candidate has 5+ years in data engineering or manufacturing analytics, deep SQL, and experience with UiPath or Power Automate, ERP integrations, and data governance.