Data Engineer – Manufacturing Quality & Automation
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Job Description
Data Engineer position supporting manufacturing quality assurance, process automation, and BI for a pharmaceutical industry client.
- Contract role in Raleigh, NC (onsite)
- Pay: USD 50–55/hour (W2 $50; C2C $55)
- Experience: 5+ years
- Interviews: video interviews
- Docs: ID proof required
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT processes
- Integrate data from manufacturing systems including 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 processing workflows for performance and reliability
- Analyze manufacturing and quality data to surface trends, defects, and process improvement opportunities
- Support quality initiatives with data validation, root cause analysis, and KPI tracking
- Build manufacturing quality metrics and reporting frameworks
- Partner with QA teams to implement automated monitoring and data quality checks
- Design and develop RPA solutions using UiPath or Microsoft Power Automate
- Automate manual business and quality processes to improve productivity and reduce errors
- Connect automation workflows with ERP, quality systems, SharePoint, Teams, and other enterprise applications
- Monitor and improve automation performance and reliability
- Create Power BI dashboards, scorecards, and reports for manufacturing and quality stakeholders
- Develop semantic models, DAX calculations, KPIs, and drill-down analytics
- Enable self-service reporting and business insights
- Optimize report performance and governance
Requirements
- 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
- Ability to work 5 days onsite in Greenville, NC
Technologies
- UiPath
- Microsoft Power Automate
- Power BI
- DAX
- Power Query
- SQL
- ETL/ELT
- RPA
- Python
- PySpark
- MES
- ERP
- IoT devices
- SharePoint
- Teams
- SAP
- Oracle
Role Summary
- Work across Manufacturing Operations, Quality Engineering, Business Analysts, and IT teams
- Improve product quality, operational efficiency, and data-driven decision-making
- Onsite location: Greenville, NC
- Availability: candidates able to join immediately are preferred
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