Data Engineering Intern, Summer 2027

Waller, TX, US • Posted 3 days ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Mentorship
  • Training
  • Collaboration
  • People Management
  • Network
  • Team Building
  • Database
  • Process Improvement
  • Scalability
  • Extraction
  • SQL
  • Amazon Web Services
  • Big Data
  • Manufacturing
  • Sales
  • Marketing
  • Analytics
  • Data Quality
  • Employment Authorization
  • Law

Summary

SUMMER INTERNSHIP

Daikin offers a well-established 11-week summer internship program where students contribute to meaningful projects. We emphasize a culture of mentorship, training, and collaboration, encouraging interns to ask questions, challenge ideas, and think creatively. Interns gain valuable hands-on experience in a thriving industry with strong opportunities for growth and development.

During the internship, college students will:
  • Work on an individual project with your direct team
  • Work with other interns on a group project
  • Network across functions and teams
  • Participate in social and team building activities

JOB REQUIREMENTS
  • Must not require sponsorship now or in the future
  • Graduation Dates: December 2027 - May 2029
  • Be at least 18 years of age

JOB DESCRIPTION

The Data Engineer Intern is responsible for putting in place the framework for a Modern, Simple, Accurate and Secure Data Environment that connects data across the company and sets data up as an asset to the company. Data Engineers will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Data engineers implement methods to improve data reliability and quality.

POSITION RESPONSIBILITIES
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Work with stakeholders including the Executive, Manufacturing, Sales and Marketing teams to assist with data-related technical issues and support their data infrastructure needs
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Develop ways to improve data quality, reliability, and efficiency

Qualified Applicants must be legally authorized for employment in the United States. Qualified applicants will not require employer sponsored work authorization now or in the future for employment in the United States. The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes pertaining to individuals with disabilities.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10454708
  • Position Id: a4e9b435e42f07dc4d74ae8043146070
  • Posted 3 days ago
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