Job description

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. Compensation Minimum: $25.00 Compensation Maximum: $39.00 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. Works 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 Develops and automates data quality checks. Write and optimize SQL queries for various data platforms including Google BigQuery, Cloud SQL (PostgreSQL/MySQL), Amazon Redshift, and RDS Specialized Knowledge & Skills 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 Bachelors, Masters. 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. Licenses • Not applicable. Travel Requirements • Up to 10%. Physical Requirements • Work that primarily involves sitting/standing. Working Conditions • Not applicable. Additional Information To ensure a strong start, all employees participate in our New Employee Orientation during their first week.  This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth.  At times, sessions may be delivered virtually based on scheduling and availability.  Offer to selected candidate will be made contingent on the results of applicable background checks Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions Sponsorship will not be considered for this position unless specified in the posting Due to the nature of this role, we are unable to consider candidates who may require visa sponsorship. Work Location: This role may be considered for a Full-Time in Office or Hybrid work arrangement based on the selected candidate s location. Work locations for this role include Madison, WI. #LI-Hybrid We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits. We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR AmFam.com to request a reasonable accommodation. #LI-AB1

Requirements

Must-haves

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.
Compensation Minimum: $25.00
Compensation Maximum: $39.00
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.
Works 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
Develops and automates data quality checks.
Write and optimize SQL queries for various data platforms including Google BigQuery, Cloud SQL (PostgreSQL/MySQL), Amazon Redshift, and RDS
Specialized Knowledge & Skills 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 Bachelors, Masters.
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.

Nice-to-haves

Interns may be eligible for a one-time hiring bonus to assist with housing costs depending upon proximity to an AmFam office location.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythongcpawsci/cdsqldocker

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off