Texas Instruments · 2 hours ago
Career Accelerator Program - Data Engineer
EXKI 13560 N. Central Expwy, Dallas, TX, 75243, US
Full-time
Onsite
New Grad, Entry LevelTexas Instruments is a global semiconductor company that designs and manufactures analog and embedded processing chips. As a Data Engineer in the Career Accelerator Program, you will build and maintain data infrastructure, develop scalable data pipelines, and collaborate with cross-functional teams to deliver data-driven insights and solutions.
ComputerDSPSemiconductor
No H1B
Responsibilities
Develop and maintain scalable data pipelines and ETL/ELT workflows for ingesting, processing, and transforming large datasets from multiple sources
Build and optimize data models, schemas, and databases to ensure efficient data storage, accessibility, and performance
Perform data cleaning, validation, and quality checks to deliver accurate and reliable data for analytical use
Work with SQL, Python, and modern data tools such as Spark to automate data flows and support data science initiatives
Architect and implement large-scale data engineering solutions across hybrid cloud environments
Build reusable libraries and automated pipelines while applying software engineering best practices such as CI/CD, testing and monitoring
Collaborate with analysts, engineers, and business teams to understand data requirements and deliver solutions
Monitor data infrastructure performance and troubleshoot issues as needed
Maintain documentation for pipelines, data models, and transformation logic
Forecast emerging data needs, define design standards and drive strategic upgrades to storage and processing infrastructure
Stay updated on emerging data technologies and recommend improvements to data architecture
Qualification
Required
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or related technical field of study
Cumulative 3.0/4.0 GPA or higher
Preferred
Master's degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or related field
Proficiency in programming languages such as Python, Java, Scala, C/C++ and strong SQL skills for data manipulation and querying
Understanding of ETL processes, database concepts, and experience with big data platforms (e.g., Spark), cloud services (AWS, Azure, or GCP)
Experience with AI/ML frameworks (e.g., PyTorch) and large-scale data processing, including transformer-based LLMs and neural networks
Knowledge of machine learning algorithms ranging from traditional ML to cutting-edge deep learning models
Strong analytical and problem-solving abilities with experience tackling complex, multifaceted challenges
Exposure to or proven experience in machine learning, deep learning concepts, NLP, computer vision, speech, and time series analysis
Demonstrated ability to develop end-to-end data pipelines, AI-enabled data tools, or enterprise-scale data architecture solutions
Publications or conference presentations in AI/ML or data engineering topics
Proven teamwork and communication skills in multidisciplinary projects, including ability to present technical concepts to non-technical stakeholders
Strong time management and project management skills that enable on-time delivery of high-impact projects
Demonstrated ability to build strong, influential relationships and leadership in cross-functional team environment
Ability to work effectively in a fast-paced and rapidly changing environment with strong initiative and adaptability
Ability to take initiative, drive for results, and drive innovation
Benefits
Competitive pay and benefits designed to help you and your family live your best life
Company
Texas Instruments
Texas Instruments is a global semiconductor company that manufactures, designs, tests, and sells embedded and analog processing chips.
Founded in 1930
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$13.61BKey Investors
U.S. Department of Commerce
2025-05-20Post Ipo Debt· $1.2B
2024-12-20Grant· $1.61B
2024-05-28Post Ipo Equity· $2.5B
Leadership Team
Richard Templeton
President and Chief Executive Officer
Krunali Patel
Senior vice president and chief information officer
Recent News
2026-01-16
The Motley Fool
2026-01-16
2026-01-16
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