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About the Role
As a Data Engineer at Texas Instruments, you will play a key role in building, maintaining, and optimizing the data infrastructure and systems that power AI/ML, analytics, reporting, and data-driven decision-making. You will work on high-visibility projects, leveraging TI's vast data ecosystem to drive innovation in AI, machine learning, and large-scale analytics.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for ingesting and transforming large-scale datasets from diverse sources.
- Build and optimize robust data models, schemas, and databases to ensure high performance, accessibility, and data integrity.
- Implement automated data cleaning, validation, and quality checks to ensure the delivery of highly reliable data for downstream analytical use.
- Utilize SQL, Python, and modern big data tools (e.g., Spark) to automate data flows and support advanced data science initiatives.
- Support the architecture and implementation of data engineering solutions across hybrid cloud environments (AWS, Azure, or GCP).
- Build reusable libraries and automated pipelines while applying rigorous software engineering best practices, including CI/CD, automated testing, and continuous monitoring.
- Partner with analysts, engineers, and business leaders to translate complex data requirements into scalable technical solutions.
- Monitor data infrastructure performance, troubleshoot complex issues, and maintain comprehensive documentation for pipelines, models, and transformation logic.
- Stay at the forefront of emerging data technologies and recommend strategic upgrades to storage, processing, and architectural frameworks.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field.
- 2+ years of professional experience in data engineering, software engineering, or a related technical role.
- Proven experience working with SQL and programming languages such as Python.
- Hands-on experience with big data platforms (e.g., Spark, Hadoop) and cloud ecosystems (AWS, Azure, or GCP).
- Practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and an understanding of how to engineer data for LLMs, NLP, or computer vision.
- Strong understanding of software engineering principles, including version control (Git), containerization (Docker/Kubernetes), and CI/CD pipelines.
- Strong problem-solving abilities with a track record of tackling multifaceted data challenges in a production environment.
- Ability to present technical findings and architectural designs to both technical peers and non-technical stakeholders.
- Demonstrated ability to thrive in a fast-paced, evolving environment and take initiative to drive projects to completion.
Skills
- SQL
- Python
- Spark
- AWS
- Azure
- GCP
- PyTorch
- TensorFlow
- Git
- Docker
- Kubernetes
- CI/CD
Location
- Remote
- Hybrid
Work Type
- Full-time
Experience Level
- 2+ years of professional experience
Education Level
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field.
- Master's degree or PhD in a quantitative field (CS, EE, Data Science, etc.)
Benefits
- Competitive pay and benefits designed to help you and your family live your best life.
- Well-being is important to us.
About the Company
- Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment.
- At our core, we have a passion to create a better world by making electronics more affordable through semiconductors.
- This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere.
- Learn more at TI.com.
Equal Opportunity
- Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
- TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin.
- However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.