Manufacturing Data Engineer: Automate Dashboards & Insights

AOI

Sugar Land (TX)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Applied Optoelectronics, Inc. (AOI) in Sugar Land is seeking a Manufacturing Data Engineer to join the Process Integration team. You will develop data infrastructure, automate data processing, and maintain dashboards connecting fab process, equipment, metrology, and yield data.

You will use Python, SQL, JMP, and statistical methods to deliver reliable analytical tools for engineering and production teams, collaborating with multiple departments to improve traceability and reporting quality.

Qualifications

  • Bachelor's degree in a related technical field is required.
  • 3+ years in data engineering, manufacturing analytics, or related automation.
  • Strong Python for data processing, automation, analysis, and visualization.
  • Knowledge of JMP for statistics and visualization.
  • Experience with SQL, databases, and integrating data from multiple sources.
  • Understanding of SPC, DOE, regression, ANOVA, and data quality.
  • Familiarity with LabVIEW and dashboard troubleshooting.
  • Excellent communication with engineering, manufacturing, quality, reliability, and IT teams.

Responsibilities

  • Develop Python scripts for data collection, cleaning, reduction, analysis, visualization, and automated reporting.
  • Build and maintain databases that integrate fab process, equipment, metrology, device-test, yield, and reliability data.
  • Establish data traceability across product, lot, wafer, process step, tool, recipe, operator, and timestamp.
  • Develop automated JMP workflows, scripts, reports, and visualization tools for manufacturing-data analysis.
  • Create and maintain dashboards, wafer maps, trend charts, and automated reports for engineering and production teams.
  • Maintain and monitor the existing fab process dashboard.
  • Troubleshoot dashboard, data-connection, and data-integrity issues with IT and Engineering teams.
  • Develop automated alerts for process shifts, equipment abnormalities, and excursions.
  • Provide datasets and analytics workflows to support SPC, DOE, reliability analyses.
  • Translate analytical requirements into scalable databases, scripts, dashboards, and reports.
  • Establish data-validation rules and monitor data accuracy.
  • Document databases, scripts, dashboards, and interfaces.

Skills

Python programming
JMP
SQL
Data visualization
Manufacturing analytics
Communication

Education

Bachelor's degree in Data Science, CS, Engineering, Statistics, Physics, Mathematics

Tools

LabVIEW
JMP Scripting Language

Job description

Applied Optoelectronics, Inc. (AOI) in Sugar Land is seeking a Manufacturing Data Engineer to join the Process Integration team. You will develop data infrastructure, automate data processing, and maintain dashboards connecting fab process, equipment, metrology, and yield data.

You will use Python, SQL, JMP, and statistical methods to deliver reliable analytical tools for engineering and production teams, collaborating with multiple departments to improve traceability and reporting quality.

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