Data Engineer – Manufacturing Quality & Automation
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Job Description
Join a data engineering team supporting manufacturing quality assurance, process automation, and business intelligence for a pharmaceutical industry client.
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- 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
- Establish and uphold data quality, accuracy, governance, and security across data assets
- Optimize data processing workflows to improve performance and reliability
- Analyze manufacturing and quality datasets to identify 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 for stakeholders
- Collaborate with QA teams to implement automated monitoring and data quality checks
- Design and develop RPA solutions using UiPath and/or Microsoft Power Automate
- Automate manual business and quality processes to increase productivity and reduce errors
- Integrate automation workflows with ERP, quality systems, SharePoint, Teams, and other enterprise tools
- Monitor and improve automation performance and reliability
- Develop interactive Power BI dashboards, scorecards, and reports for manufacturing and quality teams
- Create semantic models, DAX calculations, KPIs, and drill-down analytics
- Enable self-service reporting and business insights through well-governed analytics
- Optimize Power BI report performance and governance
Requirements
- 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 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
Interview / Logistics
- Video interviews
- ID proof required
- Immediate availability preferred
Role Details
- Location: Raleigh, NC (onsite)
- Job type: Contract
- Pay: USD 50–55 per hour (W2: $50, C2C: $55)
Technologies
- UiPath
- Microsoft Power Automate
- Power BI, DAX, Power Query
- SQL
- ETL/ELT
- RPA
- Python, PySpark
- MES
- ERP
- IoT devices
- SharePoint, Teams
- SAP, Oracle
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