Data Engineer
Analytics
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Viz
Database
Databases
Dataviz
Denodo
Engineer
ETL
Integration
Manufacturing
Power BI
Reporting and Analytics
Software Development
Spotfire
SQL
Tableau
Job Description
Data Engineer role in Dallas, TX onsite with Texas Instruments, supporting advanced manufacturing operations through data analytics, ETL pipelines, and software development.
Responsibilities
- Evaluate multifaceted operational challenges across multiple stakeholders to drive optimal solutions in a dynamic manufacturing setting.
- Collaborate with stakeholders to provision data for decision making and analytics.
- Design and deliver data visualizations for internal teams and external customers.
- Develop and maintain server-side ETL pipelines and custom databases.
- Design and implement algorithms to support data transformation.
- Troubleshoot system interruptions and strengthen resilience to prevent future issues.
- Collaborate and communicate across functions, levels, and cultures.
- Assess emerging technologies and software solutions relevant to semiconductor manufacturing and integrate them to support lights-out operations.
- Thorough understanding of manufacturing processes.
- Automate data extraction and manufacturing processes.
- Perform operational performance analyses to inform decision making.
- Collect and validate operational performance data using robust analytics on automation and system logs to assess process requirements impact.
- Access and query databases to extract critical data for production impact analysis.
- Analyze and manage large datasets.
- Demonstrate strong project management capabilities.
- Design and develop software solutions that substantially improve operational efficiency.
Requirements
- Bachelor's degree in Systems Engineering, Computer Science, Data Science, or Information Systems; other engineering disciplines may be considered with demonstrated strong software development experience.
- Minimum 3 years of data engineering experience within the semiconductor or high tech manufacturing industry.
- Proficiency in Python, Java, C++, or other programming languages.
- Strong SQL query skills.
- Experience with data visualization platforms.
- Ability to work in a clean room environment while wearing a smock.
Technologies
- Python
- Java
- C++
- SQL
- Spotfire
- Tableau
- PowerBI
- Denodo
- Linux
- Git
- Semiconductor MES
Unique Selling Features
- Join TI's North Texas 300mm industrial engineering and advanced data analytics team in a cutting edge environment with strong growth potential.
- Opportunities to learn new skills and receive mentorship from industry leaders.
- Engage in creative problem solving to address complex, dynamic manufacturing challenges.