Texas Instruments is looking to build the data infrastructure that powers its AI/ML initiatives, analytics, and data-driven decision-making across the organization
Requirements
- 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
- Experience with SQL
- Experience with Python
- Experience with modern data tools such as Spark
- Knowledge of data pipelines and ETL/ELT workflows
Responsibilities
- 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
Other
- 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
- Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
- Strong verbal and written communication skills
- Texas Instruments will not sponsor job applicants for visas or work authorization for this position
