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.
Dallas, TX, United States
Live, first seen by us 51 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Currently pursuing an undergraduate or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or related field
Texas Instruments will not sponsor job applicants for visas or work authorization for this position
Assist in building and maintaining data pipelines and ETL/ELT workflows
Support data models, schemas and databases for efficient storage and access
Take part in data cleaning, validation and quality checks
Work with SQL, Python and Spark to support data flows and data science
Help monitor data infrastructure performance and troubleshoot issues
Assisting in the development and maintenance of data pipelines and ETL/ELT workflows for processing datasets from multiple sources
Supporting the building and optimization of data models, schemas, and databases to ensure efficient data storage and accessibility
Participating in data cleaning, validation, and quality checks to help deliver accurate and reliable data for analytical use
Working with SQL, Python, and modern data tools such as Spark to support data flows and data science initiatives
Assisting in monitoring data infrastructure performance and helping troubleshoot issues as needed
Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
Ability to quickly ramp on new systems and processes
Ability to work in teams and collaborate effectively with people in different functions
Ability to take the initiative and drive for results
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 51
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.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Preferred qualifications: - Coursework or project experience with programming languages such as Python, Java, or SQL - Basic understanding of database concepts and data manipulation
- Participating in data cleaning, validation, and quality checks to help deliver accurate and reliable data for analytical use - Working with SQL, Python, and modern data tools such as Spark to support data flows and data science initiatives - Collaborating with data engineers and business teams to understand data requirements and contribute to solution development
- Basic understanding of database concepts and data manipulation - Exposure to big data platforms (e.g., Spark), cloud services (AWS, Azure, or GCP), or machine learning concepts through coursework or personal projects - Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
Complete your application on edbz.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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.
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.
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.
Change the world. Love your job.
As a Data Engineering intern, you'll help build the data infrastructure that powers TI's AI/ML initiatives, analytics, and data-driven decision-making across the organization. You'll work with cutting-edge data technologies and cloud platforms, gaining hands-on experience in transforming raw data into actionable insights. And, you'll have the opportunity to work in exciting areas like machine learning pipelines, big data processing, AI-driven analytics, cloud data architecture, real-time data streaming, and automated data workflows.
Some of your responsibilities will include, but will not be limited to:
Put your talent to work with us as a Data Engineering Intern!
Texas Instruments will not sponsor job applicants for visas or work authorization for this position.
Minimum requirements:
Preferred qualifications:
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Dallas, TX, United States
Working pattern and location restrictions need checking in the full posting.
Put your talent to work with us as a Data Engineering Intern! Texas Instruments will not sponsor job applicants for visas or work authorization for this position. Minimum requirements: