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Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and maintain server-side ETL data pipelines and custom databases

  • Create data visualizations for internal and external customers

  • Analyze operational performance using automation and system logs

  • Formulate and code algorithms for data transformation

  • Troubleshoot system interruptions and harden systems against recurrence

From the employer’s posting
Developing and maintaining server-side Extract Transform Load (ETL) data pipelines and custom databases.
Creating data visualizations for internal and external customers.
Collect and validate operational performance data via strong analytic methods on automation and system logs to analyze performance impact of various process requirement.
Formulating and coding algorithms in support of data transformation.
Troubleshooting system interruptions and harden against future occurrences.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in System Engineering, Computer Science, Data Science or Information Systems.
  • 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 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
Qualification wording
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.
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
Education & alternatives
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.
Apply at Texas Instruments

Posting record

Report an error

Open 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 29, 202699 days ago
Recorded sightings
344
Last seen by us
Nov 5, 2026
Employer says posted
Jul 21, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 99

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past Texas Instruments’s usual: its jobs come down by about day 12.

From 11,033 similar postings that came down, and 13 of Texas Instruments’s. Coming down is not always a hire.

Texas Instruments is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Java
  • Python
  • SQL
  • Power BI
  • Tableau
Where the posting names them
- 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.
- Demonstrated proficiency in one or more programming languages such as Python, Java, C++, etc. - Proficiency with SQL queries. - Experience in data visualization platforms
- 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

Your next step

Complete your application on edbz.fa.us2.oraclecloud.com. The employer’s form will show what is required.

Applying through Oracle Recruiting

  • Applying starts by asking for your email address.
  • Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

Has Texas Instruments posted this job before?

Yes. We’ve followed one other Data Engineer job there since October 2026. It came down after 7 days.

  1. This jobUp 99 days so far, first seen Jul 29
  2. DallasCame down after 7 days, first seen Oct 14

About Texas Instruments

People
About 33,000 in 2025, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as TXN.
H-1B visas
54 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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
Source details

View original posting ↗

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Location & working pattern

Dallas, TX, United States

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