2026 Intern - SEI Data Office Data Engineering Intern
SEIAbout the role
Our Internship Program provides undergraduate students with a structured and meaningful learning experience designed to prepare them for future careers and help them make informed decisions about their professional aspirations. This 10-week opportunity focuses on building foundational business knowledge while helping interns understand how to effectively operate and grow in a corporate environment.
This opportunity is part of SEI’s broader professional and leadership development continuum, designed to support early career talent as they explore potential career paths. While the internship does not guarantee full-time placement, it provides meaningful exposure to SEI’s culture, ways of working, and development opportunities that may support future consideration for additional early career programs.
Interns will work in a hybrid model from our corporate headquarters in Oaks, Pennsylvania.
In addition to on-the-job experience, Interns can expect to:
Build foundational professional skills and strengthen business, industry, and technical acumen through a weekly seminar series
Develop practical workplace capabilities through interactive sessions focused on how work gets done in a corporate environment
Participate in an on‑demand summer learning plan curated by our People Development team to support business knowledge and professional development
Gain exposure to SEI’s business, teams, and culture through hands‑on experiences and group activities
Receive regular coaching and guidance through one‑to‑one sessions with the program manager to support professional growth and career exploration
Connect with members of the broader SEI workforce through career story sessions and informal coffee chats
Build meaningful relationships with fellow interns through several events held throughout the summer
Receive a resume review and professional headshot to support future career opportunities
Qualities successful interns bring to SEI
Academic achievement in Business or Technology related fields of study such as finance, accounting, economics, marketing, computer science, or data analytics
Leadership involvement in university or community organizations (e.g., charities, clubs, athletic teams, honor societies)
A grade point average of 3.5 or above
General awareness of artificial intelligence (AI) concepts and an interest in learning how AI can be used responsibly and effectively in a professional work environment
Strong written and verbal communication skills
A strong work ethic and sense of accountability
Enthusiasm, curiosity, and active participation
Proactiveness and willingness to learn
Thoughtful risk-taking and openness to feedback
Professionalism, respect, and a collaborative mindset
SEI Data Office Data Engineering Overview:
New Enterprise initiative that we started in Private Banking and working on expansion across SEI. The team works with client to propose possible solutions for their stated problems. Upon approval of a solution the team working on the development, testing, and delivery of the application code. The team members participate various client discussion with stakeholders at all levels.
SEI Data Office Data Engineering Intern:
We are seeking an IT Data Engineering Intern to join the SEI Data Office and support enterprise technology and data platform initiatives. This role offers hands-on experience working with modern data platforms, cloud-based architectures, and enterprise-grade engineering practices that enable analytics, reporting, and data-driven decision-making across the organization. As an intern, you will collaborate with data engineers, architects, and platform teams to help design, build, and support scalable data solutions. You will gain exposure to the full lifecycle of enterprise data systems, including data ingestion, transformation, quality validation, and delivery, while learning how technology solutions are developed, governed, and operated in a large financial services environment. The role is designed to provide meaningful technical experience, mentorship, and learning opportunities while contributing to real-world initiatives that support SEI’s data and technology strategy.
Criteria:
Currently pursuing a degree in Computer Science, Information Systems, Engineering, or a related field
Foundational programming knowledge, with Python preferred
Basic understanding of SQL and core data concepts
Strong analytical and
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