Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Nashville, TN, US, 37203
Live, first seen by us 55 days agoJob title: Data Engineering Intern (Nashville, TN, US, 37203)
Support building and maintaining data pipelines that ingest and transform enterprise data
Assist with building and validating fact and dimension data models
Help implement basic data quality checks and validations
Document data flows, transformations, and business rules
Work with engineers, analysts, and business partners on data requirements
support the development and maintenance of data pipelines that ingest, transform, and deliver data
Assist with building and validating dimensional data models (e.g., fact and dimension tables)
Participate in implementing basic data quality checks and validations
Learn how data flows are documented, including transformations, metadata, and business rules
Collaborate with data engineers, analysts, and business partners to understand data requirements
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
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$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Day 55
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From 13,657 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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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
- 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
- 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.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Louisiana-Pacific Corporation (LP Building Solutions) is a leading provider of high-performance building solutions that meet the demands of builders, remodelers, and homeowners worldwide. We manufacture engineered wood building products that include an extensive offering of innovative and dependable building materials and accessories. LP’s values-driven culture creates an environment where talented and hardworking people thrive in an ethical, inclusive, challenging, and rewarding place to work. Since our founding in 1972, we’ve developed careers and provided advancement opportunities in the building products industry. Headquartered in Nashville, Tennessee, LP operates more than 20 facilities across North and South America. For more information, visit LPCorp.com.
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.
#LI-HYBRID
LP offers competitive salaries and comprehensive benefits and programs including health and welfare benefits, 401(k) program, career mobility, tuition reimbursement, volunteer opportunities, profit sharing and more.
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Nashville, TN, US, 37203
Work Environment - This position will work at home and in our Nashville office on a hybrid schedule #LI-HYBRID LP offers competitive salaries and comprehensive benefits and programs including health and welfare benefits, 401(k) program, career mobility, tuition reimbursement, volunteer opportunities, profit sharing and more.
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