Career Accelerator Program - Data Engineer

Texas InstrumentsDallas, TX
2h

About The Position

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.

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

Benefits

  • We offer competitive pay and benefits designed to help you and your family live your best life.
  • Your well-being is important to us.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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