Data Engineering Intern (Summer 2026)

  • Omaha, NE
  • Posted 3 days ago | Updated 1 hour ago

Overview

On Site
Full Time

Skills

Decision-making
Snow Flake Schema
Management
Extract
Transform
Load
ELT
Data Quality
Documentation
Agile
Workflow
Performance Tuning
Data Architecture
Computer Science
Data Science
Python
SQL
Relational Databases
Analytical Skill
Collaboration
Data Engineering
Mentorship
Cloud Computing
Attention To Detail
Problem Solving
Conflict Resolution
Communication
Microsoft Office
Network

Job Details

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?

Watch Our Story:' '

Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.

About the Role

We are seeking a motivated and detail-oriented Data Engineering Intern to join our Enterprise Data Operations team for Summer 2026. In this role, you will help design, build, and maintain scalable data systems and tools that drive data-informed decision-making across the organization. You'll gain practical experience working with modern cloud data technologies such as Snowflake and developing enterprise-level data solutions in Python, while collaborating with data scientists, analysts, and software engineers.

Key Responsibilitie

  • Assist in designing, developing, and maintaining scalable data pipelines using Python and SQL.
  • Work with Snowflake to ingest, transform, and manage large datasets.
  • Support the design and implementation of data pipelines for collecting, transforming, and loading (ETL/ELT) large-scale data from multiple sources.
  • Collaborate with data engineers and analysts to understand data requirements and ensure data quality and integrity.
  • Participate in code reviews, documentation, and agile development practices.
  • Support automation of data workflows and contribute to performance tuning efforts.
  • Explore and implement best practices in data engineering and cloud data architecture.

Preferred Qualification

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Programming skills in Python
  • Understanding of SQL and relational databases.
  • Exposure to cloud data platforms.
  • Strong analytical thinking and problem-solving skills, and attention to detail.
  • Strong communication and collaboration abilities.
  • Local candidates preferred

What You'll Gain

  • Real-world experience in enterprise data engineering.
  • Mentorship from experienced professionals in the field.
  • Exposure to modern data tools and cloud technologies.
  • Opportunity to contribute to impactful data initiatives.

Qualifications

Required Qualifications

  • Must be currently enrolled in an undergraduate or graduate program
  • Attention to detail a must
  • Must possess strong problem-solving and communication skills
  • Basic Microsoft Office skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe

HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.

Our Commitment

As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.

Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.
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.