Data Engineering Intern

Bessemer TrustWoodbridge Township, NJ
$40 - $45Onsite

About The Position

Bessemer Trust is seeking a Data Engineering Intern to join its Application Delivery team. As a Data Engineering Intern, you will have the opportunity to work alongside our talented team of engineers to develop, enhance, and maintain software solutions that drive our wealth management services. This role offers hands-on experience in software development, exposure to cutting-edge technologies, and the chance to contribute to real projects that have a direct impact on the business. Application Delivery is at the forefront of our firm’s technology innovation, driving the creation and deployment of cutting-edge applications that align with our strategic business goals. Our team is passionate about building high-impact solutions using modern engineering principles and a meticulously crafted application reference architecture. We thrive on collaboration, working together with business leaders, advisors, investment professionals, and other colleagues to deliver solutions that make a tangible difference. As part of our team, you'll be immersed in a technology ecosystem where your contributions are not just valued, but essential. Our data landscape offers a hands-on opportunity to work with various data technologies and gain exposure to enterprise-level data architecture, integration, and analytics platforms. Join us and be a part of a team that's shaping the future of wealth management through innovation and excellence. The Bessemer Trust Internship Program: Our summer internship program offers real world experience working side-by-side with experts from departments and offices across our firm. Working within your designated team, you will manage individual and group projects, interact with senior leaders, and attend a variety of career development sessions. You will also network with fellow interns in-person and virtually, as well as during our intern days held in our New York headquarters. This 10-week program is designed to mimic the experience of a full-time employee, providing an opportunity to build subject matter expertise and enhance your career at Bessemer and beyond.

Requirements

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Basic understanding of software development principles, data structures, algorithms, and object-oriented programming.
  • Familiarity with basic database concepts, SQL and Python.
  • Strong problem-solving skills with ability to understand and visualize how data flows through complex systems.
  • High level of accuracy and attention to detail in all work tasks.
  • Knowledge of one or more of the following: Database systems (e.g., SQL, PostgreSQL, or MongoDB).
  • Knowledge of one or more of the following: Version control systems (e.g., Git).
  • Knowledge of one or more of the following: Cloud platforms (e.g., AWS, Azure) is a plus.
  • Experience or interest in generative AI technologies is a plus

Nice To Haves

  • Cloud platforms (e.g., AWS, Azure)
  • Experience or interest in generative AI technologies

Responsibilities

  • Assist in the design, development, and testing of data solutions, including building pipelines and ETL processes, supporting database modeling and integration, contributing to data quality checks and governance, and preparing datasets for analytics and reporting.
  • Work closely with cross-functional teams including business analysts, testers, software engineers, AI developers and business areas directly to understand requirements and deliver high-quality data processes.
  • Analyze and report data quality issues, identifying and implementing solutions in a timely manner.
  • Participate in code reviews to ensure code quality, adherence to best practices, and continuous learning.

Benefits

  • Hands-on experience with real-world projects.
  • Mentorship and guidance from experienced data engineers and architects.
  • Exposure to the financial services industry and wealth management.
  • Networking opportunities within the firm.
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