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Data Engineering Intern

LP Building Products

Nashville, Tennessee • Today

Full-time

Talent Acquisition Data Engineering & Analytics Graduate Intern

Solidigm

Remote or Rancho Cordova, California • Today

Part-time

AI & Data Platform Engineering Intern (Undergraduate)

WEX Inc

Remote • Today

Full-time

Software Engineering Intern - Enterprise Data & Systems (Salesforce & Snowflake) (Graduate/Master's)

WEX Inc

Remote • Today

Part-time

USD 30.00 - 45.00 per hour

Job Details

Skills

Decision-making
Reporting
Dashboard
Analytics
Use Cases
Data Quality
Collaboration
Data Flow
Meta-data Management
Business Rules
Data Governance
Regulatory Compliance
Knowledge Sharing
SQL
Python
Extract
Transform
Load
ELT
Data Modeling
Database
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Microsoft Word
Microsoft PowerPoint
Microsoft Excel
Organizational Skills
Communication
Management
Computer Science
Data Engineering
Information Systems
Software Engineering
Data Science

Decision-making
Reporting
Dashboard
Analytics
Use Cases
Data Quality
Collaboration
Data Flow
Meta-data Management
Business Rules
Data Governance
Regulatory Compliance
Knowledge Sharing
SQL
Python
Extract
Transform
Load
ELT
Data Modeling
Database
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Microsoft Word
Microsoft PowerPoint
Microsoft Excel
Organizational Skills
Communication
Management
Computer Science
Data Engineering
Information Systems
Software Engineering
Data Science

Summary

Data Engineering Intern

Req Id: 12768

Job Location: Nashville

Posting Start Date: 9/18/26

Work Environment: Hybrid

Job Description:

Job Purpose

This position will support our Enterprise Data Engineering team as a Summer Intern from May 2027 - August 2027 and will be based in Nashville, TN. This is a paid, full-time internship.

During this internship, you will gain hands-on exposure to how enterprise data is ingested, transformed, and prepared for analytics and reporting. You will work alongside experienced data engineers to learn how data pipelines and models are built and maintained, and how high-quality, reliable data helps support business decision-making across the organization.

In this position you will have the opportunity to:

Work with the Enterprise Data Engineering team to support the development and maintenance of data pipelines that ingest, transform, and deliver data from a variety of enterprise systems and external sources
Learn how modern data pipelines are built using tools such as Snowflake, dbt, and cloud services on AWS and Azure, and how data progresses through different layers to become analytics-ready
Assist with building and validating dimensional data models (e.g., fact and dimension tables) to support reporting, dashboards, and analytics use cases
Participate in implementing basic data quality checks and validations to help ensure data accuracy, consistency, and completeness
Collaborate with data engineers, analysts, and business partners to understand data requirements and how technical solutions support business needs
Learn how data flows are documented, including transformations, metadata, and business rules, to support transparency and shared understanding across teams
Gain exposure to data governance, security, and compliance concepts and how they are applied in an enterprise data environment
Engage with team members through code reviews, design discussions, and knowledge-sharing sessions to support learning and professional growth
Connect and grow your skills in a dynamic, engaging environment
Work alongside and be coached by members of your team
Engage with leaders across the company

What do I need to be successful?

Basic understanding of SQL and introductory exposure to a programming language such as Python
Interest in data engineering concepts, including data pipelines, ETL/ELT processes, and data modeling
Exposure to or coursework involving databases, data warehouses, or cloud platforms (e.g., AWS, Azure, or Snowflake) is a plus
Familiarity with Microsoft Word, PowerPoint, and Excel.
Ability to work independently and collaboratively within a team environment.
Strong organizational skills.
Interpersonal and communication skills
Time management skills.

Education

Currently enrolled in a Bachelor's degree program, preferably in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or a related field
Must have an expected graduation date of August 2027 or later
Maintain a GPA of 3.0 or higher

Work Environment

This position will work at home and in our Nashville office on a hybrid schedule

#LI-HYBRID

Information at a Glance

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: 10131962
Position Id: 64da75f06e9f6077ee8f97308f4d6ecc
Posted 16 days ago

Fitment

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Job Details

Skills

Decision-making
Reporting
Dashboard
Analytics
Use Cases
Data Quality
Collaboration
Data Flow
Meta-data Management
Business Rules
Data Governance
Regulatory Compliance
Knowledge Sharing
SQL
Python
Extract
Transform
Load
ELT
Data Modeling
Database
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Microsoft Word
Microsoft PowerPoint
Microsoft Excel
Organizational Skills
Communication
Management
Computer Science
Data Engineering
Information Systems
Software Engineering
Data Science

Decision-making
Reporting
Dashboard
Analytics
Use Cases
Data Quality
Collaboration
Data Flow
Meta-data Management
Business Rules
Data Governance
Regulatory Compliance
Knowledge Sharing
SQL
Python
Extract
Transform
Load
ELT
Data Modeling
Database
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Microsoft Word
Microsoft PowerPoint
Microsoft Excel
Organizational Skills
Communication
Management
Computer Science
Data Engineering
Information Systems
Software Engineering
Data Science

Summary

Work with the Enterprise Data Engineering team to support the development and maintenance of data pipelines that ingest, transform, and deliver data from a variety of enterprise systems and external sources
Learn how modern data pipelines are built using tools such as Snowflake, dbt, and cloud services on AWS and Azure, and how data progresses through different layers to become analytics-ready
Assist with building and validating dimensional data models (e.g., fact and dimension tables) to support reporting, dashboards, and analytics use cases
Participate in implementing basic data quality checks and validations to help ensure data accuracy, consistency, and completeness
Collaborate with data engineers, analysts, and business partners to understand data requirements and how technical solutions support business needs
Learn how data flows are documented, including transformations, metadata, and business rules, to support transparency and shared understanding across teams
Gain exposure to data governance, security, and compliance concepts and how they are applied in an enterprise data environment
Engage with team members through code reviews, design discussions, and knowledge-sharing sessions to support learning and professional growth
Connect and grow your skills in a dynamic, engaging environment
Work alongside and be coached by members of your team
Engage with leaders across the company

What do I need to be successful?

Basic understanding of SQL and introductory exposure to a programming language such as Python
Interest in data engineering concepts, including data pipelines, ETL/ELT processes, and data modeling
Exposure to or coursework involving databases, data warehouses, or cloud platforms (e.g., AWS, Azure, or Snowflake) is a plus
Familiarity with Microsoft Word, PowerPoint, and Excel.
Ability to work independently and collaboratively within a team environment.
Strong organizational skills.
Interpersonal and communication skills
Time management skills.

Education

Currently enrolled in a Bachelor's degree program, preferably in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or a related field
Must have an expected graduation date of August 2027 or later
Maintain a GPA of 3.0 or higher

Work Environment

This position will work at home and in our Nashville office on a hybrid schedule

#LI-HYBRID

Information at a Glance

Dice Id: 10131962
Position Id: 64da75f06e9f6077ee8f97308f4d6ecc
Posted 16 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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