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Texas Instruments

engineering opportunity

Career Accelerator Program - Data Engineer

Design, build, and oversee the deployment of data architecture and software solutions to manage structured and unstructured data. Develop technical tools using AI, machine learning, and big-data techniques to cleanse, transform, and maintain data integrity.

Richardson, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Texas Instruments?

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.

QUALIFICATIONS

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
  • 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
  • [https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012]
  • * 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
  • [https://careers.ti.com/en/sites/CX/pages/benefits]

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

[https://www.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.

TI does not make recruiting or hiring decisions based on citizenship,

immigration status or national origin. However, if TI determines that

information access or export control restrictions based upon applicable laws and

regulations would prohibit you from working in this position without first

obtaining an export license, TI expressly reserves the right not to seek such a

license for you and either offer you a different position that does not require

an export license or decline to move forward with your employment.

Which skills does this role require?

Data engineeringCloud infrastructureData EngineerSemiconductorCareer Accelerator ProgramArtificial IntelligenceMachine LearningSoftware DevelopmentData ArchitectureData IntegrityEmbedded ProcessingAnalogComputer EngineeringElectrical Engineering

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Role information can change. Confirm current details on the original application page.

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