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.
Career Accelerator Program - Data Engineer
Richardson, TX, United States
Live, first seen by us 50 days ago- 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
Before you apply
- New graduates
- Open to new graduates
The TMG Development program is a 12-month program for new college graduates in the TMG organization
What you’ll work on
Full postingDesign and build data channels that route and store data in cloud or local databases
Develop tools using AI, machine learning and big-data techniques to cleanse and transform data
Maintain and update data structures and integrity automatically
Set design standards and assurance processes for data connections and storage
Recommend upgrades to systems and storage as data needs change
From the employer’s posting
Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store
Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data
to maintain, defend and update data structures and integrity on an automated basis
Creates and establishes design standards and assurance processes for software, systems and applications development
suggests changes and upgrades to systems and storage to accommodate ongoing needs
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Electrical Engineering, Computer Engineering or related field
- Minimum cumulative GPA of 3.0/4.0
Preferred experience
- Proficiency in at least one programming language commonly used in data engineering (Python, Java, or Scala)
- Familiarity with streaming/event-driven architectures (e.g., Apache Kafka)
- Solid understanding of SQL and relational database concepts
- Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3)
Qualification wording
Bachelor's degree in Electrical Engineering, Computer Engineering or related field of study
Minimum cumulative GPA 3.0/4.0
Proficiency in at least one programming language commonly used in data engineering (Python, Java, or Scala)
Familiarity with streaming/event-driven architectures (e.g., Apache Kafka)
Solid understanding of SQL and relational database concepts
Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3)
Education & alternatives
Minimum Requirements: - Bachelor's degree in Electrical Engineering, Computer Engineering or related field of study - Minimum cumulative GPA 3.0/4.0
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 202650 days ago
- Recorded sightings
- 209
- Last seen by us
- Nov 5, 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
Time since we first saw it
Day 50
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
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.
- Java
- Python
- Scala
- SQL
- Iceberg
- Kafka
- S3
- Spark
- Trino
Where the posting names them
Preferred Qualifications: - Proficiency in at least one programming language commonly used in data engineering (Python, Java, or Scala) - Solid understanding of SQL and relational database concepts
- Proficiency in at least one programming language commonly used in data engineering (Python, Java, or Scala) - Solid understanding of SQL and relational database concepts - Coursework or project experience involving data structures, algorithms, and software design fundamentals
- Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3) - Experience with SQL query engines for large-scale analytics (e.g., Trino/Presto) - Internship, co-op, academic research, or personal project experience involving big data pipelines, ETL/ELT workflows, or cloud/on-prem data infrastructure
- Familiarity with streaming/event-driven architectures (e.g., Apache Kafka) - Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3) - Experience with SQL query engines for large-scale analytics (e.g., Trino/Presto)
- Exposure to distributed data processing frameworks such as Apache Spark - Familiarity with streaming/event-driven architectures (e.g., Apache Kafka) - Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3)
- Strong analytical and problem-solving skills, with the ability to learn new tools and technologies quickly in a fast-paced environment - Exposure to distributed data processing frameworks such as Apache Spark - Familiarity with streaming/event-driven architectures (e.g., Apache Kafka)
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
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.
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
Change the world. Love your job.
In your first year with TI, you will participate in the Career Accelerator Program (CAP), which provides professional and technical training and resources to accelerate your ramp into TI, and set you up for long-term career success. Within this program, we also offer function-specific technical training and on-the-job learning opportunities that will encourage you to solve problems through a variety of hands-on, meaningful experiences from your very first day on the job. The TMG Development program is a 12-month program for new college graduates in the TMG organization.
About the job:
Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
Minimum Requirements:
- Bachelor's degree in Electrical Engineering, Computer Engineering or related field of study
- Minimum cumulative GPA 3.0/4.0
Preferred Qualifications:
- Proficiency in at least one programming language commonly used in data engineering (Python, Java, or Scala)
- Solid understanding of SQL and relational database concepts
- Coursework or project experience involving data structures, algorithms, and software design fundamentals
- Strong analytical and problem-solving skills, with the ability to learn new tools and technologies quickly in a fast-paced environment
- Exposure to distributed data processing frameworks such as Apache Spark
- Familiarity with streaming/event-driven architectures (e.g., Apache Kafka)
- Understanding of modern data lake/lakehouse concepts, including table formats like Apache Iceberg and object storage systems (e.g., MinIO, S3)
- Experience with SQL query engines for large-scale analytics (e.g., Trino/Presto)
- Internship, co-op, academic research, or personal project experience involving big data pipelines, ETL/ELT workflows, or cloud/on-prem data infrastructure
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Richardson, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.