Data Engineer

Texas Instruments seeks a Data Engineer in Dallas to support data analytics, ETL pipelines, and software development for advanced manufacturing operations.

Responsibilities

• Analyze complex operational challenges across multiple stakeholders to drive optimal solutions in a dynamic manufacturing environment.
• Collaborate with stakeholders to provision data that informs decision making and analytics.
• Create data visualizations for internal and external customers.
• Develop and maintain server side ETL pipelines and custom databases.
• Design and implement data transformation algorithms.
• Troubleshoot system interruptions and implement hardening measures to prevent recurrence.
• Communicate effectively across functions, hierarchies, and diverse cultural contexts.
• Assess emerging technologies and software solutions relevant to semiconductor manufacturing, then integrate them into operations with Lights Out manufacturing in mind.
• Apply strong manufacturing process knowledge to data initiatives.
• Automate data extraction and manufacturing workflows.
• Perform operation performance analysis to support data driven decision making.
• Collect and validate operational performance data using analytic methods on automation and system logs to assess process impact.
• Extract critical production data from databases to analyze manufacturing impact.
• Analyze large datasets and maintain data integrity across systems.
• Demonstrate solid project management skills to drive initiatives to completion.
• Design and develop software solutions that significantly improve operational efficiency.

Requirements

• Bachelor's degree in System Engineering, Computer Science, Data Science, Information Systems, or a closely related field; other engineering majors considered with demonstrated strong software development experience.
• At least 3 years of relevant Data Engineer experience in the semiconductor industry or high tech manufacturing sector.
• Proficiency in one or more programming languages such as Python, Java, or C++.
• 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
• Power BI
• Denodo
• Linux
• Git
• Semiconductor MES

Unique selling features

• Join the top TI North Texas 300mm industrial engineering and advanced data analytics team in a cutting edge environment with strong growth potential.
• Opportunities to acquire new skills and receive mentorship from industry leaders.
• Engage in creative problem solving to address complex, dynamic manufacturing challenges.