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Enterprise Data Intern

American Family Insurance

Madison, WIInternshipIntern$25/hr
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Location
Madison, WI
Employment
Internship
Work model
On-Site
Level
Intern
Salary
$25/hr
Posted

Skills

AWSAzureCloudFormationDockerGCPJavaLinuxPythonSQLTerraform

About this role

Summer 2027 Intern – Enterprise Data - Enablement, Service & Support    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  The Enterprise Data - Enablement, Service & Support intern will perform exploratory data analysis, develop scalable and extensible data pipelines, work on cross-functional teams to develop and deploy data-driven applications and products, assist with prototyping emerging technologies, build and maintain tools to increase the productivity, develop and automate data quality checks, and develop big data applications and data visualization tools. You will report to the Senior Manager, Engineering.

Responsibilities

You will develop an understanding of our business, corporate culture and structure to support your work. You will contribute creative ideas and strategic approaches in response to changing situations.  You will perform exploratory data analysis to determine which questions can be answered effectively with a given dataset. You will develop highly scalable and extensible data pipelines from internal and external sources. You will work on cross-functional teams to develop and deploy data-driven applications and products, particularly within the space of data science. You will assist with prototyping emerging technologies involving data ingestion and transformation, distributed file systems, databases and frameworks.  You will build and maintain tools to increase the productivity of application development and client facing teams. You will develop and automate data quality checks. You will develop big data applications and data visualization tools.

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, or PhD.  Major/program must align with internship role.  Knowledge of SQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores). Hands-on programming experience in Python or java, with an emphasis towards building ETL workflows and data-driven solutions. Working familiarity with Linux scripting to automate workflows. Understanding of database internals, such as indexes, binary logging, and transactions. Knowledge of cloud computing platforms (e.g. AWS, GCP, Azure). Understanding of Infrastructure as Code (e.g. Docker, CloudFormation, Terraform, etc.) 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

Listing verified . Applications go through the company's official careers site.

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