Data Engineer – Manufacturing Quality & Automation (Onsite - Greenville, NC)

OMG Technology; Raleigh (NC); On-site; USD 143,270,000 - 157,046,000; Full time

Job summary

OMG Technology seeks a Data Engineer for Manufacturing Quality & Automation to design scalable data pipelines, automate QA processes, and deliver insightful Power BI dashboards. The role collaborates with Manufacturing Operations, Quality Engineering, Business Analysts, and IT to drive data-driven decisions and improved product quality.

The position requires 5+ years in data/QA roles, on-site work in Greenville, NC, and experience with ERP systems, data modeling, and automation tools.

Qualifications

• 5+ years of experience in Data Engineering, Manufacturing Analytics, Quality Systems, or Automation.
• Hands-on experience in a Manufacturing/Production environment.
• Strong understanding of Manufacturing Quality/QA processes, including CAPA and process validation.
• Expertise in SQL and relational databases.
• Experience with ETL/ELT tools and data integration frameworks.
• Hands-on experience with Power BI, DAX, Power Query, and data visualization.
• Experience with UiPath and/or Microsoft Power Automate.
• Knowledge of Supply Chain processes.
• Experience with ERP systems such as SAP, Oracle, or similar platforms.
• Programming experience in Python, PySpark, or similar technologies.
• Experience with data validation, data quality, governance, and testing.
• 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 data assets.
• Optimize data processing workflows for performance and reliability.
• Analyze manufacturing and quality data to identify trends, defects, and improvement opportunities.
• 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 apps.
• Monitor and enhance automation performance and reliability.
• Develop interactive dashboards, scorecards, and reports using Power BI.
• Create semantic models, DAX calculations, 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

Automation

SQL

Python

PySpark

Power BI

UiPath

Power Automate

ERP systems

Data governance

Tools

Power BI

UiPath

Power Automate

Power Query

SQL

Python

PySpark

SAP

Oracle

Job description

Data Engineer - Manufacturing Quality & Automation (Onsite - Greenville, NC)

We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a 6+ months contracting role, with potential for extension

Role Summary

We are seeking a highly motivated Data Engineer with expertise in Manufacturing Quality Assurance (QA), Process Automation, and Business Intelligence. The ideal candidate will be responsible for designing and implementing scalable data solutions, automating business and quality processes using UiPath or Microsoft Power Automate, and developing actionable insights through Power BI dashboards and reports.

This role will work closely with Manufacturing Operations, Quality Engineering, Business Analysts, and IT teams to improve product quality, operational efficiency, and data-driven decision-making.

Key Responsibilities

Data Engineering

• 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.

Manufacturing Quality & Analytics

• Analyze manufacturing and quality data to identify trends, defects, and process improvement opportunities.
• 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.

Process Automation

• Design and develop RPA solutions using UiPath or Microsoft 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.

Power BI Development

• Develop interactive dashboards, scorecards, and reports using Power BI.
• Create semantic models, DAX calculations, KPIs, and drill-down analytics.
• Enable self-service reporting and business insights for manufacturing and quality stakeholders.
• Optimize report performance and governance.

Required Skills

• 5+ years of experience in Data Engineering, Manufacturing Analytics, Quality Systems, or Automation.
• Hands-on experience working in a Manufacturing / Production environment.
• Strong understanding of Manufacturing Quality / QA processes, including CAPA and process validation.
• Expertise in SQL and relational databases.
• Experience with ETL/ELT tools and data integration frameworks.
• Hands-on experience with Power BI, DAX, Power Query, and data visualization.
• Experience with UiPath and/or Microsoft Power Automate.
• Knowledge of Supply Chain processes.
• Experience working with ERP systems such as SAP, Oracle, or similar platforms.
• Programming experience in Python, PySpark, or similar technologies.
• Experience with data validation, data quality, governance, and testing.
• Must be able to work 5 days onsite in Greenville, NC.

Other details

• Onsite in Greenville, NC
• Pay rate :$50 W2 or $55 on C2C
• Interviews:Video interviews.
• Docs required:ID proof will be required.
• Availability:Candidates able to join immediately are preferred