Data Engineer

Texas Instruments•Sherman, TX

1d•Onsite

About The Position

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data analytics and software development experience to join their growing team. Texas Instruments (TI) is looking for a qualified Data Engineer to support and drive our growing advanced 300mm manufacturing operations. This is an opportunity to work in a vibrant and dynamic team-oriented environment with exposure to a variety of state-of-the art applications each day.

Requirements

Bachelor's degree in System Engineering, Computer Science, Data Science or Information Systems. Other engineering majors will be considered with demonstrated strong experience in software development
3 years of relevant experience as a Data Engineer within the semiconductor industry or high tech manufacturing industry.
Demonstrated proficiency in one or more programming languages such as Python, Java, C++, etc.
Proficiency with SQL queries.
Experience in data visualization platforms
Ability to work in a clean room environment while wearing a smock.

Nice To Haves

Previous experience with Semiconductor MES
Front and/or Back End Development experience
Familiarity with data virtualization software such as Denodo
Familiarity with dashboard reporting software such as Spotfire, Tableau, PowerBI, etc
Familiarity with Linux server environments and Git version control
Previous work with Operations Research, Machine Learning, Digital Twin is a plus
Demonstrated strong analytical and problem-solving skills

Responsibilities

Analyze complex operational challenges involving multiple stakeholders, driving towards optimal solutions in a complex and dynamic manufacturing environment.
Working closely with stakeholders to provision data for decision making data and analytics.
Creating data visualizations for internal and external customers.
Developing and maintaining server-side Extract Transform Load (ETL) data pipelines and custom databases.
Formulating and coding algorithms in support of data transformation.
Troubleshooting system interruptions and harden against future occurrences.
Working and communicating effectively across functional, hierarchical, and cultural boundaries.
Ability to assess emerging technologies and software solutions relevant to semiconductor manufacturing, then integrate them into our operations in the spirit of "Lights Out" manufacturing.
Strong understanding of manufacturing processes.
Automating data extraction and manufacturing processes.
Conduct operation performance analysis to support decision making process.
Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze performance impact of various process requirement.
Working with database to-extract critical data required to analyze production impact.
Analyzing and maintaining large data sets.
Strong project management skills.
Designed and developed software solutions that significantly enhanced operational efficiency