Information Technology Intern – Data Engineering
At a glance
Junior Data Engineering role at Edbz. Dallas · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Help create and maintain pipelines that move data from multiple sources through ETL or ELT workflows
- Shape data models, schemas and databases so information stays accessible and efficient to store
- Clean and check datasets to improve the accuracy of information used for analysis
- Use SQL, Python and tools such as Spark to support data movement and data science work
- Monitor data systems, investigate issues and document pipelines, models and transformation steps
What you bring
- You are pursuing an undergraduate or graduate degree in computer science, data science or another listed field
- Your cumulative GPA is at least 3.0 on a 4.0 scale
Who this fits
This internship suits a student looking for practical data engineering experience and collaboration with engineers and business teams. You must already have work authorization, since visa or work authorization sponsorship is unavailable.
From the employer
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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Data Engineering
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