Data Engineering Intern - Build Scalable Pipelines (NYC)

Addepar; New York (NY); On-site; USD 36,000 - 44,000; Full time

Job summary

Addepar is seeking a Data Engineering Intern to join our Portfolio Data Engineering team in New York City for Summer 2027. This full-time internship includes mentorship, onboarding, and meaningful projects to build and maintain data pipelines powering Enterprise and Hyperscaler clients.

You will split time between day-to-day feed maintenance and tooling improvements, collaborate with senior engineers, and learn standard data engineering processes.

Qualifications

• Pursuing a university or post-secondary program (BSc/MSc) in CS, data eng/DS, or related field.

Responsibilities

• Support day-to-day maintenance of portfolio data feeds and reconciliation workflows for Enterprise and Hyperscaler clients.
• Work on tooling improvements to 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.

Skills

Python

SQL

ETL pipelines

Data warehousing

Databricks

Education

Bachelor's or Master's in Computer Science / Data Engineering / Data Science

Job description

Addepar is seeking a Data Engineering Intern to join our Portfolio Data Engineering team in New York City for Summer 2027. This full-time internship includes mentorship, onboarding, and meaningful projects to build and maintain data pipelines powering Enterprise and Hyperscaler clients.

You will split time between day-to-day feed maintenance and tooling improvements, collaborate with senior engineers, and learn standard data engineering processes.