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Data EngineerTexas Instruments • United States
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Data Engineer

Texas Instruments
  • US
    United States
  • US
    United States
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À propos

Change the world. Love your job. In your first year with TI you'll join the Career Accelerator Program (CAP) a development experience that blends professional skill workshops, technical training and on the job learning. The program is tailored to your educational background and experience level, ensuring you can start delivering real world data engineer impact from day 1, whether you're working on foundational data pipelines or cutting-edge AI-driven solutions. About the job: As a Data Engineer, you will play a key role in building and maintaining the data infrastructure and systems that power AI/ML, analytics, reporting, and data-driven decision-making across the organization. You will be part of a cross-functional team, gaining hands?on experience working with modern data tools and cloud technologies while transforming raw data into actionable insights through collaboration with engineers and business stakeholders. In this role, you will also have the opportunity to architect and lead the deployment of large?scale data engineering solutions, pioneering AI?driven data processing frameworks that integrate transformer?based LLMs, deep learning models, and traditional machine learning algorithms. Key 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 Texas Instruments will not sponsor job applicants for visas or work authorization for this position. #J-18808-Ljbffr
  • United States

Compétences linguistiques

  • English
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