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
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