Data Engineer Intern

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