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

Socket.dev; North Carolina; On-site; USD 69,000 - 76,000; Full time

Job summary

Socket.dev is seeking a Data Engineer – Manufacturing Quality & Automation for onsite work in Greenville, NC. This 6+ month contracting role focuses on building data pipelines, QA automation, and Power BI insights.

Responsibilities include integrating MES/ERP data, automating processes with UiPath or Power Automate, and delivering scalable data models and dashboards for manufacturing quality stakeholders.

Qualifications

• 5+ years of experience in Data Engineering, Manufacturing Analytics, Quality Systems, or Automation.
• Hands-on experience in a Manufacturing environment and QA processes (CAPA, validation).
• Strong SQL skills and experience with ETL/ELT pipelines.
• Power BI, DAX, Power Query for data visualization and reporting.
• UiPath or Power Automate for automation; ERP experience (SAP/Oracle).
• Programming in Python or PySpark; data governance and testing familiarity.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Analyze manufacturing and quality data to identify trends and improvements.
• Develop BI dashboards and reporting frameworks for stakeholders.
• Design automated monitoring and data quality checks with QA teams.

Skills

Data Engineering

Manufacturing Analytics

Quality Systems

SQL

ETL/ELT

Power BI/DAX

UiPath/Automation

ERP Systems (SAP/Oracle)

Python/PySpark

Data Governance

Tools

Power BI

DAX

Power Query

UiPath

Microsoft Power Automate

SQL Databases

SAP/Oracle ERP

Python/PySpark

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 work5 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