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Addepar

Cloud-based wealth management data platform

Staff Software Engineer - Reference Data

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A B.S. or M.S. in Computer Science or a similar technical field of study, or equivalent practical experience.
  • At least 7 years of software engineering experience.
  • Prior experience with distributed systems, microservices, and messaging queues.
  • Ability to own complex projects involving partners across multiple teams.
  • Working knowledge of at least one object-oriented programming language, such as PySpark, Python, or Java, as well as relational databases, SQL, NoSQL, OLAP, and/or data lake architectures.
  • Strong problem-solving and decision-making skills.

Responsibilities

  • Drive the technical direction for complex solutions in close alignment with product counterparts, engineering peers in other regions, and the wider engineering community.
  • Partner with multifunctional teams to design, develop, and deploy scalable data solutions that meet business requirements.
  • Build frameworks that support highly performant ingestion and distribution of financial data, and build AI-native products from initial prototypes to scalable production services.
  • Evaluate and drive strategic business and technology decisions for the company and its customers.
  • Serve as a technical thought leader in multiple areas by educating others, sharing best practices, and delivering strategic and prescriptive guidance.
  • Work in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement.

Desired Qualifications

  • Knowledge of financial concepts such as stocks and bonds is helpful but not necessary.
  • Passion for FinTech and solving difficult problems in investment management is a plus.
  • Proven ability to collaborate with and mentor other engineers.

About the Company

Addepar

Cloud-based wealth management data platform

Addepar offers a cloud-based wealth management platform that consolidates data for data aggregation, analytics, and reporting. It ingests data from custodians, fund administrators, and broker-dealers to present a single, real-time view with tools for performance, risk, scenario modeling, and automated billing, plus a broad API and hundreds of integrations. It specializes in complex, multi-asset and illiquid portfolios (like private equity and real estate) for high-net-worth clients, with pricing based on assets under management. Its goal is to deliver transparent, data-driven insights and an integrated, scalable system that streamlines portfolio oversight and operations for wealth managers.

Company size
1,001-5,000
Company stage
Series G
Total funding
$872.8M
Headquarters
New York City, New York
Founded
2009

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