Data Engineer – Manufacturing Quality & Automation

OMG Technology

Raleigh (NC)

On-site

USD 69,000 - 76,000

Full time

3 days ago

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Job summary

OMG Technology is seeking an experienced Data Engineer to design and maintain scalable data pipelines for manufacturing quality assurance and process automation. You will integrate MES, ERP, quality systems, and IoT data, build data warehouses and lakehouse architectures, and enforce governance and data security across assets.

The role requires 5+ years in data engineering or manufacturing analytics, hands-on SQL, ETL/ELT, Power BI, and automation with UiPath or Power Automate.

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.
Ability to work 5 days onsite in Greenville, NC.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
Integrate data from MES, ERP, quality systems, IoT devices, and enterprise apps.
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 datasets to identify trends and process improvements.
Support quality initiatives with data validation, root cause analysis, and KPI tracking.
Build manufacturing quality metrics and reporting frameworks.
Collaborate with QA teams to implement automated monitoring and data quality checks.
Design and develop RPA solutions using UiPath and/or Power Automate.
Automate manual business and quality processes to boost productivity.
Integrate automation workflows with ERP, SharePoint, Teams, and other 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 insights through governed analytics.
Optimize Power BI report performance and governance.

Skills

Data pipelines

ETL/ELT

SQL

Relational databases

Power BI & DAX

Power Query

UiPath

Microsoft Power Automate

Python / PySpark

Data validation & governance

KPI tracking & analytics

Tools

SAP

Oracle

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