Data Engineer

Texas Instruments (TI) is hiring a Data Engineer in Dallas, TX to help build and optimize the data infrastructure that powers AI/ML, analytics, reporting, and data-driven decision-making. This role focuses on scalable ETL/ELT, data modeling, data quality and governance, automation and tooling, and hybrid cloud implementation. If you want work that combines strong engineering practices with real impact across cross-functional teams, this position is built for you.

What you’ll do

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform large-scale datasets from diverse sources.
• Build and optimize data models, schemas, and databases that support performance, accessibility, and data integrity.
• Implement automated data cleaning, validation, and quality checks to deliver reliable 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 hybrid cloud data engineering solutions across AWS, Azure, or GCP.
• Create reusable libraries and automated pipelines, applying best practices including CI/CD, automated testing, and continuous monitoring.
• Collaborate with analysts, engineers, and business leaders to translate complex 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 (for example, Spark, Hadoop) and cloud ecosystems (AWS, Azure, or GCP).
• Practical experience with AI/ML frameworks (for example, PyTorch, TensorFlow), including understanding of engineering data for LLMs, NLP, or computer vision.
• Strong software engineering fundamentals including Git, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Strong problem-solving skills with a track record of addressing multifaceted production data challenges.
• Ability to present technical findings and architectural designs to technical peers and non-technical stakeholders.
• Capability to thrive in a fast-paced 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)
• 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 address: EXKI 13560 N Central Expy, Dallas, TX, 75243, US
• ECL/GTC Required: Yes

Why TI

• Engineer your future: TI empowers employees to truly own their career and development.
• We’re different by design: diverse backgrounds and perspectives push innovation forward and strengthen TI.
• Benefits that benefit you: competitive pay and benefits designed to help you and your family live your best life.