Data Engineer

Build the data foundation behind AI, analytics, and data-driven decision-making at Texas Instruments. This onsite Data Engineer role in Dallas, TX focuses on creating and improving large-scale data infrastructure and pipelines that help teams move from raw datasets to reliable, production-ready insights. If you enjoy designing scalable ETL/ELT workflows, strengthening data governance and quality, and collaborating across engineering and business stakeholders, this position offers a chance to grow your impact in a fast-evolving environment.

What you’ll do

• 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 performance, accessibility, and data integrity.
• Implement automated data cleaning, validation, and quality checks to deliver dependable data for downstream analytics.
• Use SQL, Python, and modern big data tools such as Spark to automate data flows and support advanced data science initiatives.
• Support architecture and implementation across hybrid cloud environments using AWS, Azure, or GCP.
• Create reusable libraries and automated pipelines while applying software engineering best practices such as CI/CD, automated testing, and continuous monitoring.
• Collaborate with analysts, engineers, and business leaders to translate complex data requirements into scalable technical solutions.
• Monitor infrastructure performance, troubleshoot complex issues, and maintain documentation for pipelines, models, and transformation logic.
• Stay current on emerging data technologies and recommend strategic upgrades to storage, processing, and architectural frameworks.

What you bring

• 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 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 (Spark, Hadoop) and cloud ecosystems (AWS, Azure, or GCP).
• Practical experience with AI/ML frameworks (PyTorch, TensorFlow) and knowledge 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 solving multifaceted data challenges in production.
• 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.

Tools you’ll work with

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 details

• Location: Dallas, TX (onsite)
• Address: EXKI 13560 N Central Expy, Dallas, TX, 75243, US
• 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
• ECL/GTC Required: Yes

Why TI

• Engineer your future: empower employees to own their career and development.
• Different by design: diverse backgrounds and perspectives support innovation and strengthen the organization.
• Benefits that benefit you: competitive pay and benefits designed to help you and your family live your best life.