This listing does not state pay. Across 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.

Listed pay is what employers advertise, not what people are paid.

Data Engineer salaries by state · Check your own pay

How AI is used in this kind of work

Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

Change the world. Love your job.

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

Why TI?

Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.

We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI

Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.