Data Engineer

• 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

Be part of the top TI North Texas 300mm industrial engineering and advanced data analytics team working in the most cutting-edge environment with high growth potential. Opportunities to learn new skill sets and being mentored by industry leaders.   We believe in thinking outside the box and exercising your creative abilities to help solve complex, dynamic and fluid problems.

• 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.

• 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