Industrial Data Engineer: Production Analytics & Dashboards

AOI; Sugar Land (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Applied Optoelectronics, Inc. (AOI) in Sugar Land, TX, seeks a Manufacturing Data Engineer to join the Process Integration team.

You will develop data infrastructure and analytic tools connecting fab process, equipment, metrology, device-test, yield, and reliability data, using Python, SQL, JMP, and statistics to automate data processing and improve traceability. You will help maintain the fab process dashboard and collaborate with Process Integration, Yield Engineering, Fab, Equipment

Qualifications

• Bachelor’s degree in a technical field
• 3+ years of data engineering or manufacturing analytics
• Strong Python for data processing, automation, analysis, and visualization
• Experience with SQL and relational databases
• Experience with JMP for statistics and scripting
• Familiarity with manufacturing statistics (SPC, DOE, regression)
• Ability to manage large manufacturing datasets
• Ability to collaborate with engineering, manufacturing and IT teams
• Familiarity with LabVIEW is a plus
• Excellent communication skills across teams

Responsibilities

• Develop Python scripts for data collection, cleaning, reduction, analysis, visualization, and automated reporting
• Build and maintain databases integrating 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 Equipment Engineering and IT
• Develop automated alerts to identify process shifts, equipment abnormalities, and excursions
• Provide reliable datasets and analytical workflows to support SPC, DOE, and reliability analyses
• Translate analytical requirements into scalable databases, scripts, dashboards, and reports
• Establish data-validation rules and monitor data quality
• Document databases, scripts, dashboards, interfaces, and standard analysis methods

Skills

Python programming

SQL

Data engineering

Dashboard development

JMP

LabVIEW

Communication

Education

Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Physics, Mathematics, or a related technical field

Tools

LabVIEW

JMP

Job description

Applied Optoelectronics, Inc. (AOI) in Sugar Land, TX, seeks a Manufacturing Data Engineer to join the Process Integration team.

You will develop data infrastructure and analytic tools connecting fab process, equipment, metrology, device-test, yield, and reliability data, using Python, SQL, JMP, and statistics to automate data processing and improve traceability. You will help maintain the fab process dashboard and collaborate with Process Integration, Yield Engineering, Fab, Equipment