Manufacturing Data Engineer - Analytics & Dashboards

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

Job summary

Applied Optoelectronics, Inc. in Sugar Land, TX is seeking a Manufacturing Data Engineer to develop and maintain data infrastructure and analytical tools connecting fab process, equipment, metrology, device-test, yield, and reliability data.

The role involves automating data processing with Python/SQL, maintaining dashboards, and enabling SPC, DOE, and reliability analyses. Collaboration across Process Integration, Yield Engineering, Fab, Equipment Engineering, Quality, Reliability, and IT is

Qualifications

• Bachelor's degree in a data science, computer science, engineering, statistics, physics, mathematics, or related field.
• 3+ years of experience in data engineering, manufacturing analytics, database development, or automation.
• Strong Python programming for data processing, automation, analysis, and visualization.
• Proficient in SQL and relational databases; experience combining data from multiple sources.
• Experience with JMP for statistical analysis and JMP scripting language.
• Familiarity with LabVIEW and maintaining LabVIEW-based dashboards.
• Ability to collaborate with engineering, manufacturing, quality, reliability, and IT teams.

Responsibilities

• Develop Python scripts for data collection, cleaning, analysis, visualization, and automated reporting.
• Build and maintain databases integrating fab process, metrology, 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 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 programming

SQL

Data analysis

Statistics

Data visualization

Communication

Education

Bachelor's degree in a related technical field

Tools

JMP

JMP Scripting Language

LabVIEW

Job description

Applied Optoelectronics, Inc. in Sugar Land, TX is seeking a Manufacturing Data Engineer to develop and maintain data infrastructure and analytical tools connecting fab process, equipment, metrology, device-test, yield, and reliability data.

The role involves automating data processing with Python/SQL, maintaining dashboards, and enabling SPC, DOE, and reliability analyses. Collaboration across Process Integration, Yield Engineering, Fab, Equipment Engineering, Quality, Reliability, and IT is