Data Engineering Intern
LP Building Solutions
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- ETLData visualizationSQLPythonExcelMicrosoft Office
- Nice to have
- AWSAzureSnowflake
- Work
- On-site in Nashville · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python60%SQL52%ETL47%Data visualization16%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 1, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
This paid, full-time internship with the Enterprise Data Engineering team offers hands-on exposure to data ingestion, transformation, and preparation for analytics and reporting. Interns will work with experienced data engineers to learn about data pipeline construction, maintenance, and the role of high-quality data in business decision-making. The internship is scheduled for Summer 2027 (May – August) and will be based in Nashville, TN.
Key Responsibilities
- Support the development and maintenance of data pipelines that ingest, transform, and deliver data from various enterprise systems and external sources.
- Learn how modern data pipelines are built using tools like Snowflake, dbt, and cloud services on AWS and Azure.
- Assist in building and validating dimensional data models (e.g., fact and dimension tables) for reporting, dashboards, and analytics.
- Participate in implementing basic data quality checks and validations to ensure data accuracy, consistency, and completeness.
- Collaborate with data engineers, analysts, and business partners to understand data requirements and align technical solutions with business needs.
- Learn how data flows are documented, including transformations, metadata, and business rules.
- Gain exposure to data governance, security, and compliance concepts.
- Engage in code reviews, design discussions, and knowledge-sharing sessions to support learning and professional growth.
- Work alongside and be coached by team members.
Requirements & Tech Stack
- Basic understanding of SQL.
- Introductory exposure to a programming language such as Python.
- Interest in data engineering concepts, including data pipelines, ETL/ELT processes, and data modeling.
- Familiarity with Microsoft Word, PowerPoint, and Excel.
- Ability to work independently and collaboratively.
- Strong organizational skills.
- Interpersonal and communication skills.
- Time management skills.
Exposure to or coursework involving databases, data warehouses, or cloud platforms (e.g., AWS, Azure, or Snowflake) is a plus.
Qualifications
- Currently enrolled in a Bachelor’s degree program, preferably in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or a related field.
- Expected graduation date of August 2027 or later.
- Maintain a GPA of 3.0 or higher.
Work Environment
- Hybrid schedule, working from home and in the Nashville office.