Feature Engineer Intern: Data Pipelines & ML in Columbus

Nationwide Mutual Insurance Company; Columbus (OH); Hybrid; USD 32,000 - 69,000; Full time

Job summary

Nationwide is seeking a Feature Engineer Intern to join the Enterprise Analytics Office in Columbus, Ohio, from May to August 2027. You will work with data scientists to design, build, and maintain data pipelines for ML models and analytics, transforming raw data into clean, analysis-ready datasets.

Ideal candidates are pursuing a graduate degree in Computer Science, Computer Information Systems, or related fields and will gain hands-on experience with ETL/ELT, SQL, Python or R, and cloud data

Qualifications

• Knowledge of common Linux/Unix commands and functions.
• Accomplished self-learner, demonstrating an awareness of technology trends and ability to learn and teach.
• Analyzes and resolves moderately complex issues related to application support and logging.
• Implement solutions with complex business requirements and systems integrations.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets.
• Prepares detailed specifications, requirements, scope documents, and logic flowcharts for the development and implementation of the most complex application programs and modifications.
• Application testing to ensure that the provided solution is executable, testable, complete and not ambiguous while meeting all end-user requirements.
• Understanding of data governance principles and best practices.
• Experience with or interest in ETL/ELT development and data pipeline architecture.
• Proficiency in SQL and either Python or R.
• Familiarity with statistical and machine learning concepts.

Responsibilities

• Collaborate closely with data scientists to design, build, and maintain robust data pipelines that support machine learning models and advanced analytics.
• Transform raw data into reliable, well-documented datasets optimized for analysis and modeling.

Skills

Linux/Unix knowledge

Self-learning mindset

Data analysis and troubleshooting

SQL

Python or R

Data governance concepts

ETL/ELT development

Cross-functional collaboration

Documentation of data pipelines

Education

Graduate degree in Computer Science or related field

Tools

AWS

Databricks

Snowflake

GitHub

APIs/REST

Job description

Nationwide is seeking a Feature Engineer Intern to join the Enterprise Analytics Office in Columbus, Ohio, from May to August 2027. You will work with data scientists to design, build, and maintain data pipelines for ML models and analytics, transforming raw data into clean, analysis-ready datasets.

Ideal candidates are pursuing a graduate degree in Computer Science, Computer Information Systems, or related fields and will gain hands-on experience with ETL/ELT, SQL, Python or R, and cloud data