Data Feeds Engineer

| Hybrid
Sorry, this job was removed at 11:43 a.m. (EST) on Monday, November 2, 2020
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Addepar is making a huge swath of private wealth management more transparent and more efficient. We’re building a suite of robust, powerful financial applications atop our core product that unifies hundreds of investment portfolio data sources and reference data providers. Not only are the technical challenges we solve at Addepar complex, they’re also globally important.

A core part of Addepar’s business relies on us being able to quickly and correctly ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input.  The software engineers on the data feeds engineering team help build and maintain the transformation and cleaning steps of our ETL (Extract, Transform, Load) pipeline before it can be stored and accessed by our customers in a standardized fashion. As a software engineer on this team, you’ll be building components within the ETL pipeline that automate these cleaning and transformation steps. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our broader data infrastructure.

This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual data cleaning effort required from our clients or from our internal data operations team.

Responsibilities:

  • Write code and design pipeline architecture.
  • Build pipelines that support the ingestion, analysis, and enrichment of financial data.
  • Improve the existing pipeline to increase the throughput and accuracy of data.
  • Identify areas of automation opportunities and implement improvements.
  • Work with data analysts to map general financial concepts to our internal data models in a repeatable and precise fashion.
  • Understand data models and schemas, and work with other engineering staff to recommend extensions and changes.
  • Use investigative tools and database queries to automatically flag irreconcilable data within our production datasets.

Requirements:

  • A computer science degree or equivalent experience
  • Experience with object-oriented programming (we use Java)
  • Knowledge of SQL or relational database concepts
  • Understanding of data structures and algorithms
  • Interest in data modeling, visualization, and ETL pipelines
  • Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary


Addepar is a wealth management platform that specializes in data aggregation, analytics, and reporting for even the most complex investment portfolios. The company’s platform aggregates portfolio, market, and client data all in one place. It provides asset owners and advisors a clearer financial picture at every level, allowing them to make more informed and timely investment decisions. Addepar works with hundreds of leading financial advisors, family offices, and large financial institutions that manage data for over $1.7 trillion of assets on the company’s platform. In 2020, Addepar was named as a Forbes Fintech 50 and in 2018 received Morgan Stanley’s Fintech Award for making a significant impact on the firm’s mission of continuous innovation. Addepar is headquartered in Silicon Valley and has offices in New York City and Salt Lake City.

 

Addepar is an equal opportunity employer. We’re committed to building together and to do that best, we rely on a range of backgrounds, experiences, and ideas.

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Location

Addepar is centrally located in Midtown East above one of the city's most iconic buildings, Grand Central Terminal.

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