Data Engineering Intern

Pipevia; New York (NY); Hybrid; USD 27,552 - 55,104; Full time

Job summary

Pipevia is looking for a Data Engineering Intern in New York/Remote to help build reliable ETL pipelines and improve data quality. You will collaborate with senior engineers, implementing features, writing SQL, and conducting data tests.

The ideal candidate should have a basic understanding of SQL, experience with Python, and a willingness to learn. This internship provides an excellent opportunity to work in the modern data stack environment.

Qualifications

• Basic SQL knowledge and a scripting language.
• Understanding of data management techniques.
• Strong communication skills and eagerness to learn.

Responsibilities

• Implement small features in connectors and transformations.
• Write SQL to clean and validate datasets.
• Add tests to improve data quality.
• Document findings and share learnings.

Skills

Basic SQL

Python (preferred)

Clear communication

Willingness to learn

Tools

Snowflake

BigQuery

Redshift

dbt

Git

Job description

Internship • New York/Remote • Engineering

Data Engineering Intern

Help our team build reliable ETL pipelines and improve data quality for the Pipevia platform.

About the role

You will work with senior engineers to build connectors, transformation logic and data tests. You’ll learn how modern data stacks move data from sources to warehouses reliably.

What you’ll do

• Implement small features in connectors and transforms
• Write SQL to clean and validate datasets
• Add tests and assertions to improve data quality
• Document findings and share learnings with the team

Requirements

• Basic SQL and one scripting language (Python preferred)
• Understanding of tables, joins and incremental loads
• Clear communication and willingness to learn

Nice to have

• Course project using Snowflake/BigQuery/Redshift
• dbt basics and data testing experience
• Familiarity with Git and command line

Ready to apply?

Send your resume and links to projects. Apply via Email