Data Engineering Intern - Summer 2027

Addepar•New York, NY

1d•Onsite

About The Position

Addepar is seeking a Data Engineering Intern to join its Portfolio Data Engineering team in New York City for Summer 2027. The team builds and maintains data pipelines that bring portfolio data into Addepar’s platform for Enterprise and Hyperscaler clients. The intern will divide their time between supporting day-to-day feed maintenance and improving tooling, while contributing to the next-generation data pipeline and gaining exposure to production data systems. As part of the AddeU Internship Program, the intern will work on meaningful projects, receive support from a manager and mentor, take part in onboarding, and present a summer project to an internal audience. The role is full-time and requires in-person attendance at the New York office for the entire 12-week internship, currently scheduled for June 7 through August 27, 2027. Relocation assistance is not offered. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship and must be authorized to begin work in the U.S. on their first day. Applications are reviewed on a rolling basis between November 2026 and March 2027. Compensation is a base salary plus bonus, equity, and benefits; the listed U.S. base salary range is $40–$40.

Requirements

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 is ideal, though all years are welcome to apply.
Able to commit to the full 12-week program, June 7, 2027–August 27, 2027.
Proficiency in Python and SQL.
Strong problem-solving skills and attention to data quality.
Ability to work collaboratively in a team-oriented environment.
Legally authorized to work in the United States for any employer without current or future visa sponsorship, and authorized to begin work in the U.S. on the first day of employment.

Nice To Haves

Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks.

Responsibilities

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 through 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 the summer project to an internal audience.