ML Feature Engineer Intern - Data Pipelines & Analytics

Nationwide; North Carolina; On-site; USD 32,000 - 69,000; Full time

Job summary

Nationwide internships in Enterprise Analytics Office offer hands-on work transforming raw data into reliable datasets to support AI/ML models. You will collaborate with data scientists to design, build, and maintain data pipelines and robust data assets for analytics.

The internship runs from May to August 2027 in Columbus, OH, with exposure to cloud platforms and DataOps practices, emphasizing data governance and modern data engineering techniques.

Qualifications

• Pursuing a graduate degree in a tech field as listed.
• Strong SQL and at least one scripting language (Python or R).
• Experience with ETL/ELT development and data pipelines preferred.
• Familiarity with Linux/Unix commands and basic tooling.

Responsibilities

• Design, build, and maintain robust data pipelines for ML/analytics.
• Collaborate with data scientists to transform raw data into analyzable datasets.
• Translate complex requirements into well-documented data solutions and specifications.
• Assist in testing and validating data solutions and governance practices.

Skills

SQL

Python

R

ETL/ELT

Data pipelines

Linux/Unix

Machine learning concepts

GitHub

API technologies

AWS

Databricks

Snowflake

Education

Graduate degree in Computer Science / CIS / CE / SE / IT

Tools

Databricks

Snowflake

GitHub

Swagger/OpenAPI

REST/JSON

Job description

Nationwide internships in Enterprise Analytics Office offer hands-on work transforming raw data into reliable datasets to support AI/ML models. You will collaborate with data scientists to design, build, and maintain data pipelines and robust data assets for analytics.

The internship runs from May to August 2027 in Columbus, OH, with exposure to cloud platforms and DataOps practices, emphasizing data governance and modern data engineering techniques.