Manufacturing Analytics Engineer Jobs

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Data Engineer – Manufacturing Quality & Automation

OMG Technology Raleigh, NC

Raleigh, NC

Today

$50 - $55/hr Contract Analytics Automation Automation Developer

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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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