Data Engineering Intern - Summer 2027

Location: New York, NY Department: Interns

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Program

We are currently seeking a Data Engineering Intern to join our Portfolio Data Engineering team in New York City for Summer 2027.

Being a part of the AddeU Internship Program, you will be working on meaningful project(s) that you can feel proud of and present back to the company at the end of the experience. In addition to having a supporting manager and mentor, we have a fantastic onboarding program to get you acclimated and ready for your time with us. Fun events and super cool swag are also included!

Data is fundamental to everything Addepar does. Our Portfolio Data Engineering team builds and maintains the data pipelines that bring portfolio data into Addepar's platform for our Enterprise and Hyperscaler clients. With enterprise project volume expected to grow significantly over the next year, we are looking for a Data Engineering Intern to help keep those pipelines running smoothly while improving the tooling behind them. If you are excited about working with complex financial data at scale and building more reliable, efficient data pipelines, we want to hear from you!

As a Data Engineering Intern, you will split your time between supporting day-to-day feed maintenance and working on tooling improvements, contributing to the next-generation data pipeline while gaining significant exposure to production data systems.

This role is based full-time in our New York office and requires in-person attendance for the duration of the internship. Dates are currently set for June - August 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered. Please let us know if you need any adjustments to take part in the application process or the internship.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

Applications are reviewed on a rolling basis between November 2026 and March 2027. We encourage you to apply early, as we may close the posting once the program is filled.

What You'll Do

Support day-to-day maintenance of portfolio data feeds and reconciliation workflows for Enterprise and Hyperscaler clients

Work on tooling improvements that increase pipeline reliability, data quality, and operational efficiency

Contribute to the next-generation data pipeline on well-scoped deliverables

Write well-tested data pipeline code and contribute to process improvements

Collaborate with the Portfolio Data Engineering team and learn from senior engineers

Learn and demonstrate data engineering standard processes and principles

Produce a retrospective and demonstrate your summer project to an internal audience

Who You Are

Currently enrolled in a university or other post-secondary program

Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field (penultimate or final year ideal, though all years are welcome to apply)

Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027

Proficiency in Python and SQL

Strong problem-solving skills and attention to data quality

Ability to work collaboratively in a team-oriented environment

Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks is a plus

Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States.

Compensation for this role includes base salary + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Base Salary Range

$40—$40 USD

Our Values

Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.

Build Together - Collaborate to unlock the best solutions. Deliver lasting value.

Champion Our Clients - Exceed client expectations. Our clients’ success is our success.

Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.

Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to