Data Engineer Internship, Summer 2023
At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
Internship candidates can expect a full-time onsite internship program, running from June 1, 2023 to August 11, 2023. This internship opportunity is offered in Milwaukee, WI. Internship candidates who are relocating for the summer internship opportunity are eligible for round-trip airline/train travel and mileage reimbursement to and from your internship location and company-provided housing for the duration of the summer internship program in accordance with the company's relocation policy. Carefully selected from universities across the country, our interns bring distinctive ideas and perspectives to our organization. Our employees are passionate about building our emerging talent and future leaders. After application and initial screening conversation, interns are aligned, interviewed, and hired to a specific team at NM based on their skillsets and interests, providing exposure to real-world business perspectives through hands-on learning and meaningful work. In addition to their day-to-day tasks, interns participate in professional development workshops, senior leadership Q&A's, volunteer initiatives, networking/social events, and more!
Data Engineering Internship
As a Data Engineer Intern, you will work within the Engineering Solutions Delivery function alongside your hiring manager, mentor, and team to complete tasks critical for Northwestern Mutual's success. We are here to help you both identify and continue to develop your future career goals and passions. See below for further details on the role:
- Data Engineering- A data engineer intern supports the technology needs of our Managed Investments team. This includes building a data platform. Team members have a solid understanding of the unique data structures needed to solve analytics problems and provide business context and meaning to the data provided.
Bring Your Best! What this role needs. Minimum qualifications
- Pursuing a Bachelor'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 databases and data warehouses.
- Employer immigration sponsorship is not available for this role
Next steps
We encourage you to apply! Once your application is reviewed, if selected to move forward, our UR team members will reach out for a call, where we will learn more about you and share internship opportunities aligning to your interests and skillsets and share any next steps of our recruiting process.
Who we are
Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs. At Northwestern Mutual, people matter. And you'll be working for a company that's consistently voted among the "most admired" in the nation. We invite you to explore your career interests with us.
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Grow your career with a best-in-class company that puts our client's interests at the center of all we do. Get started now!
We a re an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.
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