Intern - Data Engineering

About the role

As a Data Engineer intern supporting the Data Engineering - Data Product Services department you will support the team building transformation tables for enterprise analytical reporting. An internship with American Family Insurance is a great opportunity to build your skillset and explore your career interests. Our summer student internship is a 10 to 14 week program that starts in mid to late May and ends in August. During your internship, you'll work on impactful projects that make a difference at our company, with our customers, and in our communities. You'll also gain exposure to different areas of our business and have numerous opportunities for networking and coaching. Interns may be eligible for a one-time hiring bonus to assist with housing costs depending upon proximity to an AmFam office location.

Pay

Compensation range: $25.00 – $39.00 per hour.

Responsibilities

• Develop an understanding of our business, corporate culture and structure to support your work.
• Contribute creative ideas and strategic approaches in response to changing situations.
• Work on cross-functional teams to develop and deploy data-driven applications and products, particularly within the space of data engineering.
• Support Python ETL frameworks using Cloud (e.g. GCP, AWS) Services to build data pipelines that efficiently process and transform data from multiple sources.
• Develop comprehensive pytest test suites to ensure data pipeline reliability, including unit tests for transformation logic and integration tests for end-to-end workflows.
• Configure and maintain Terraform modules for infrastructure provisioning, focusing on creating reusable components for database resources, compute instances, and IAM permissions.
• Utilize GitLab CI/CD pipelines to automate testing, building, and deployment of ETL processes with proper environment segregation.
• Document technical implementations with clear architecture diagrams and runbooks to support operational handoffs.
• Contribute to code reviews and implement feedback to maintain high code quality standards across ETL codebase.
• Develop and automate data quality checks.
• Write and optimize SQL queries for various data platforms including Google BigQuery, Cloud SQL (PostgreSQL/MySQL), Amazon Redshift, and RDS.

Requirements

• Must be in student status at an accredited 4-year college or university during the internship, graduating August 2027 or later.
• Must be pursuing a Bachelor's or Master's degree; major/program must align with internship role.
• Hands-on programming experience in Python, with an emphasis towards building ETL workflows and data-driven solutions.
• Understanding of database internals, such as partitioning, indexes and SQL optimization.
• Knowledge of cloud computing platforms (e.g. GCP, AWS).
• Understanding of Infrastructure as Code (e.g. Docker, CloudFormation, Terraform, etc.)
• Strongly prefer candidates graduating in August 2028 or later.

Work arrangement

Travel: Up to 10%.

Physical requirements: Work primarily involves sitting/standing.

Work location: Madison, WI. This role may be considered for a Full-Time in Office or Hybrid work arrangement based on the selected candidate's location.

New Employee Orientation is held in person at the Madison, WI Headquarters or one of the AmFam core locations during the first week (may be delivered virtually based on scheduling and availability).

Offer is contingent on background check results and signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.

Sponsorship will not be considered for this position; due to the nature of this role, we are unable to consider candidates who may require visa sponsorship.