Information Technology Intern – Data Engineering

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:

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

Collaborating with data engineers and business teams to understand data requirements and contribute to solution development

Assisting in monitoring data infrastructure performance and helping troubleshoot issues as needed

Contributing to documentation for pipelines, data models, and transformation logic

Learning about emerging data technologies and supporting recommendations for data architecture improvements

Supporting the implementation of software engineering best practices such as testing and monitoring in data workflows

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:

Currently pursuing an undergraduate or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or related field

Cumulative 3.0/4.0 GPA or higher

Preferred qualifications:

Coursework or project experience with programming languages such as Python, Java, or SQL

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

Strong verbal and written communication skills

Ability to quickly ramp on new systems and processes

Demonstrated strong interpersonal, analytical and problem-solving skills

Ability to work in teams and collaborate effectively with people in different functions

Ability to take the initiative and drive for results

Strong time management skills that enable on-time project delivery

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