addepar1

Staff Software Engineer-Reference Data

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At a Glance

Location
United States
Work Regime
remote
Experience
2+ years
Compensation
urrent range for this role is $160,000 - $250,000 (base salary) + bonus + equit
Posted
2026-05-13T09:33:07-04:00

Key Requirements

Required Skills

JavaMicroservicesPythonSQLSpark

Domain Knowledge

  • Engineering
  • Finance
  • Media

Requirements

2+ years of proven experience leading engineering teams, 5+ years of professional backend engineering experience as an individual contributor.

Prior experience with distributed systems, microservices and messaging queues

Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines

Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary

Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus

Think and operate with intention, purpose and care.

Responsibilities

We are seeking an experienced and highly motivated Engineering Manager to lead the Reference Data Team in the UK, a critical component of the Addepar Platform team.

The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools.

The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modelling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers.

The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios.

As the Engineering Manager, you will play a crucial role in leading and managing a team to deliver complex engineering projects using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes, microservices, and more.

Addepar takes a market-based approach to pay.