1 day ago
New York, NY, USAIntern
Responsibilities
- Maintain portfolio data feeds and reconciliation workflows for Enterprise and Hyperscaler clients.
- Improve tooling to increase pipeline reliability, data quality, and operational efficiency.
- Contribute well-scoped deliverables to the next-generation data pipeline.
- Write well-tested data pipeline code and support process improvements.
- Collaborate with the Portfolio Data Engineering team and learn from senior engineers.
- Produce a retrospective and demonstrate the summer project to an internal audience.
Requirements
- Currently enrolled in a university or other post-secondary program.
- 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 may apply.
- Able to commit to the full 12-week program from June 7, 2027 through 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.
- Familiarity with ETL pipelines, data warehousing, or Databricks is a plus.
- Legally authorized to work in the United States for any employer without current or future visa sponsorship.
Benefits
- Full-time, in-person work in Addepar’s New York City office for the duration of the internship.
- 12-week Summer 2027 internship running June 7 through August 27, 2027.
- Supporting manager, mentor, onboarding program, fun events, and company swag.
- Relocation assistance is not offered.
- Compensation includes base salary, bonus, equity, and benefits.
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.