Data Engineer
Texas Instruments· Semiconductors· Jul 21, 2026 · 3mo agoPosted 98 days ago
Dallas, TX, United States
In office
Full-time
Mid
$125K–$170K est.
3+ years exp
Before you apply
Ghost Signal:
Open since July 21, 2026 — 98 days, and still accepting applications.
Job description
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About the job:
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.
Do you have experience in semiconductor manufacturing, data analytics and software development? Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Do you want to be part of an organization that is driving the future of advanced smart manufacturing? Look no further. Texas Instruments (TI) is looking for a qualified Data Engineer to support and drive our growing advanced 300mm manufacturing operations. Here’s your opportunity to work in a vibrant and dynamic team-oriented environment with exposure to a variety of state-of-the art applications each day.
Responsibilities include:
• 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
Unique Selling Features of the Job:
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.
Minimum 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.
Preferred Qualifications:
• 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
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- oracle-cloud
- Effort
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