Staff Software Engineer — Reference Data Platform

Addepar1; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Addepar in the United States is seeking a Staff Software Engineer for the Reference Data Team. You will architect and implement scalable data solutions and work with PySpark, Python, AWS, Terraform, Java, Kubernetes and microservices.

This role focuses on delivering a single source of truth for market and security master data. You will partner with cross-functional teams to translate business needs into robust data pipelines, drive technical direction, mentor engineers, and help Addepar scale

Qualifications

• BS/MS in Computer Science or equivalent practical experience.
• 7+ years of software engineering experience.
• Experience with distributed systems, microservices, and messaging queues.
• Ability to own complex projects across multiple teams.
• Mentor engineers and collaborate effectively.
• Proficiency in PySpark, Python, or Java; SQL/NoSQL and data lake concepts.
• Interest in FinTech and investment data concepts is a plus.

Responsibilities

• Architect and implement scalable data solutions for reference data.
• Drive technical direction and partner with regional teams.
• Develop AI-native data tooling and production services.
• Lead through coding, reviews, and best-practice sharing.
• Deliver high-quality results in a fast-paced environment.

Skills

Distributed systems

Microservices

Messaging queues

Mentoring engineers

Python

PySpark

Java

SQL

NoSQL

OLAP

Data lake architectures

Financial concepts

Education

BS or MS in Computer Science or equivalent

Tools

Python

PySpark

Java

AWS

Terraform

Kubernetes

SQL

NoSQL

Job description

Addepar in the United States is seeking a Staff Software Engineer for the Reference Data Team. You will architect and implement scalable data solutions and work with PySpark, Python, AWS, Terraform, Java, Kubernetes and microservices.

This role focuses on delivering a single source of truth for market and security master data. You will partner with cross-functional teams to translate business needs into robust data pipelines, drive technical direction, mentor engineers, and help Addepar scale