Data Engineering Internship, Summer 2026

Northwestern Mutual•Milwaukee, WI

1d•$17 - $30•Onsite

About The Position

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference. Full-time onsite 10 week summer internship program from offered in Milwaukee, WI, Franklin, WI, or New York City, NY. Relocating interns eligible for travel and housing reimbursement. Interns aligned and hired to specific teams based on abilities and interests. Gain exposure to real-world business perspectives through hands-on learning and substantial work. Participate in professional development workshops, leadership Q&A sessions, volunteer initiatives, and networking events. Data Engineering & Analytics Internship As a Data Engineer or Data Science Intern, you will work within the Core Data & Analytics function alongside your hiring manager, mentor, and team to complete tasks critical for Northwestern Mutual's success. See below for further details on each role: Data Engineering- Exploration, acquisition, cleansing, transformation, understanding, and assembly of data to support various analytics efforts from descriptive to prescriptive. Team members have a confirmed understanding of the outstanding data structures needed to address analytics problems and provide business context and meaning to the data provided. Analytics Engineering- Acquires, analyzes, combines, synthesizes, and structures data with clear definitions and sources for analytical consumption. You’ll build the understanding of workstream business domains and the meaning of the data in it to be able to accurately identify key and associated data which can be extracted, transformed, and loaded for effective consumption downstream. Interns will support the development of data products using continuous deployment and integration practices. Bring Your Best! What this role needs.

Requirements

Pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Software Engineering, Computer Engineering, Information Technology, or related field from an accredited college or university
Cumulative grade point average of 3.0 or higher
Previous work or classroom experience in one or more of the following: SQL, R, Java, Python, Tableau, Power BI, and other data & visualization tools
Employer immigration sponsorship is not available for this role

Nice To Haves

Previous software engineering or data-focused internship and/or relevant project experience
Effective oral and written communication skills
Self-starter, resourceful, analytical, innovative, and intellectually curious
Confirmed analytical and problem-solving ability
High degree of self-motivation, eagerness to learn, and ability to balance multiple priorities
Knowledge of SharePoint administration is a plus
Ability to solve network, software, and hardware issues
Experience with sourcing, cleansing, and combining datasets from various sources
Passion for problem-solving, research, quantitative analysis, and analytical techniques
Exceedingly organized with a keen attention to detail

Responsibilities

Exploration, acquisition, cleansing, transformation, understanding, and assembly of data to support various analytics efforts from descriptive to prescriptive.
Acquires, analyzes, combines, synthesizes, and structures data with clear definitions and sources for analytical consumption.
Build the understanding of workstream business domains and the meaning of the data in it to be able to accurately identify key and associated data which can be extracted, transformed, and loaded for effective consumption downstream.
Interns will support the development of data products using continuous deployment and integration practices.