Data Manufacturing Engineer: Automate & Visualize Fab Data

Applied-Optoelectronics-Inc; Sugar Land (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Applied Optoelectronics, Inc. in Sugar Land, TX seeks a Manufacturing Data Engineer to develop data infrastructure connecting fab processes, equipment, metrology, yield, and reliability data.

You will automate data processing with Python/SQL, maintain dashboards, and deliver reproducible analyses for engineering and production teams. Responsibilities include building databases, establishing traceability, creating JMP workflows, and developing automated alerts to detect process shifts and

Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Physics, Mathematics, or a related technical field.
• 3+ years of experience in data engineering, manufacturing analytics, database development, scientific software, or equipment-data automation.
• Strong Python programming skills for data processing, automation, analysis, and visualization.
• Strong working knowledge of JMP for statistical analysis, visualization, and preferably JMP Scripting Language.
• Experience with SQL, relational databases, database design, and combining data from multiple sources.
• Working knowledge of manufacturing statistics, including SPC, process capability, regression, ANOVA, DOE, and measurement-system analysis.
• Familiarity with LabVIEW and ability to maintain and troubleshoot an existing LabVIEW-based dashboard.
• Ability to communicate effectively 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 in collaboration with Equipment Engineering and IT.
• Develop automated alerts that help process and yield engineers identify process shifts, equipment abnormalities, and manufacturing excursions.
• Provide reliable datasets and analytical workflows to support SPC, process capability, DOE, correlation, reliability, and root-cause analyses.
• Work with yield engineers and process owners to translate analytical requirements into scalable databases, scripts, dashboards, and reports.
• Establish data-validation rules and monitor the accuracy, completeness, and consistency of manufacturing data.
• Document databases, scripts, dashboards, interfaces, and standard analysis methods.

Skills

Python

SQL

JMP

LabVIEW

Data visualization

Dashboarding

Manufacturing analytics

REST APIs

Education

Bachelor's degree in a related technical field

Master's degree in Data Science or related field

Tools

Git

Linux

Plotly

Job description

Applied Optoelectronics, Inc. in Sugar Land, TX seeks a Manufacturing Data Engineer to develop data infrastructure connecting fab processes, equipment, metrology, yield, and reliability data.

You will automate data processing with Python/SQL, maintain dashboards, and deliver reproducible analyses for engineering and production teams. Responsibilities include building databases, establishing traceability, creating JMP workflows, and developing automated alerts to detect process shifts and