Data Engineer

Texas Instruments is hiring a Data Engineer in Dallas, TX to help build and operate scalable data infrastructure and pipelines for analytics and AI/ML.

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 data models, schemas, and databases to support high performance, accessibility, and data integrity.
• Implement automated data cleaning, validation, and quality checks to deliver reliable datasets for downstream analytics.
• Use SQL, Python, and big data tooling (including Spark) to automate data flows and support data science initiatives.
• Support architecture and implementation of data engineering solutions across hybrid cloud environments (including AWS, Azure, or GCP).
• Create reusable libraries and automated pipelines while following software engineering practices such as CI/CD, automated testing, and continuous monitoring.
• Collaborate with analysts, engineers, and business leaders to translate complex data needs into scalable technical solutions.
• Monitor data platform performance, troubleshoot complex issues, and maintain documentation covering pipelines, models, and transformation logic.
• Track 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.
• Master’s degree or PhD in a quantitative field (CS, EE, Data Science, etc.).
• 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), plus understanding of engineering data for LLMs, NLP, or computer vision.
• Strong software engineering fundamentals including Git, Docker/Kubernetes, and CI/CD pipelines.
• Strong problem-solving skills and a track record of addressing multifaceted production data challenges.
• Ability to present technical findings and architectural designs to technical and non-technical stakeholders.
• Capability to thrive in a fast-paced, evolving environment and drive projects to completion with initiative.

Technologies

• SQL, Python, Spark, AWS, Azure, GCP
• ETL, ELT
• CI/CD, Git
• Docker, Kubernetes, Hadoop
• PyTorch, TensorFlow
• LLMs, NLP

Benefits

• Competitive pay and benefits designed to help you and your family live your best life.
• Well-being is important to us.

Job Info

• Job Identification: 25018445
• Job Category: Information Technology
• Posting Date: 10/14/2026, 10:54 AM
• Apply Before: 10/22/2026, 12:00 AM
• Degree Level: Bachelor’s Degree
• Location: EXKI 13560 N Central Expy, Dallas, TX, 75243, US
• ECL/GTC Required: Yes

Why TI

• Engineer your future. Employees are empowered to own career and development.
• Different by design: diverse backgrounds and perspectives support innovation.
• Benefits that benefit you, including competitive pay and benefits for you and your family.