Information Technology Intern – Data Engineering

Texas Instruments
Dallas
Workplace: OnsiteInternshipFunction: Healthcare (Clinical, Medical, Wellness)Education: high_schoolSkills: ["Communication","Interpersonal skills","Analytical thinking","Problem-solving","Team collaboration","Time management","Stakeholder management","Initiative"]

Help build the data infrastructure that powers Texas Instruments’ AI/ML initiatives, analytics, and data-driven decision-making. You’ll assist with data pipelines and ETL/ELT workflows, support data modeling and database development, and perform data cleaning, validation, and quality checks. Work with SQL, Python, and Spark to enable efficient data storage and reliable insights, collaborate with data engineers and business teams, and document and troubleshoot data systems.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Texas Instruments
Texas Instruments
1 day ago

Information Technology Intern – Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Help build the data infrastructure that powers Texas Instruments’ AI/ML initiatives, analytics, and data-driven decision-making. You’ll assist with data pipelines and ETL/ELT workflows, support data modeling and database development, and perform data cleaning, validation, and quality checks. Work with SQL, Python, and Spark to enable efficient data storage and reliable insights, collaborate with data engineers and business teams, and document and troubleshoot data systems.
Location: Dallas
Workplace: Onsite
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Assist in developing and maintaining data pipelines and ETL/ELT workflows to process datasets from multiple sources.
  • •Support building and optimizing data models, schemas, and databases for efficient storage and accessibility.
  • •Participate in data cleaning, validation, and quality checks to deliver accurate, reliable data.
  • •Work with SQL, Python, and tools such as Spark to support data flows and data science initiatives.
  • •Collaborate with data engineers and business teams to understand data requirements, troubleshoot data infrastructure issues, and document pipelines and transformation logic.

Key Requirements

  • •Currently pursuing an undergraduate or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field.
  • •Cumulative 3.0/4.0 GPA or higher.
  • •Coursework or project experience with Python, Java, or SQL.
  • •Basic understanding of database concepts and data manipulation.
  • •Exposure to big data platforms (e.g., Spark), cloud services (AWS, Azure, or GCP), or machine learning concepts through coursework or projects.
Education:High School in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or related field
Skills:CommunicationInterpersonal skillsAnalytical thinkingProblem-solvingTeam collaborationTime managementStakeholder managementInitiative
Tech Stack:ETLELTSQLPythonJavaSparkAWSAzureGCPData pipelinesData modelsSchemasDatabasesCloud data architectureReal-time data streamingMachine learningAI/MLData quality

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Texas Instruments
Designs and manufactures semiconductors and analog chips used in industrial, automotive, personal electronics, communications, and enterprise systems. It is one of the world’s largest semiconductor companies, with a broad portfolio of embedded processing and power products.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dallas, United States
Founded: 1930
WebsiteLinkedIn