Senior Data Platform Engineer — Real-Time Lending

Affirm; Salt Lake City (UT); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Tech Spending Stipend

Health And Wellness Stipend

Flexible Time Off

Employee Stock Purchase Plan (ESPP)

Job summary

Affirm is seeking a backend-focused leader to build and scale data platforms for real-time loan originations and financial reporting. You will guide engineers through ambiguity and drive quarterly goals while promoting quality through design standards and mentorship.

Responsibilities include shaping architecture for distributed systems, data pipelines, and batch processing, partnering with product teams, and ensuring reliable, scalable backend services across AWS and Kubernetes environments.

Qualifications

• 4+ years of experience in backend systems using Python or Kotlin
• Experience with distributed systems and data pipelines
• Bachelor's degree in related field or equivalent practical experience

Responsibilities

• Build and scale data platforms and services for real-time loan originations and financial reporting
• Lead engineers through technical ambiguity and manage quarterly goals
• Foster a culture of quality through design standards and mentorship

Skills

Python

Kotlin

Distributed Systems

Backend Development

Data Pipelines

System Design

Code Review

Technical Leadership

API Design

Scalability

Batch Processing

Education

Bachelor's degree in related field

Tools

AWS

MySQL

Kubernetes

Spark

Airflow

Job description

Affirm is seeking a backend-focused leader to build and scale data platforms for real-time loan originations and financial reporting. You will guide engineers through ambiguity and drive quarterly goals while promoting quality through design standards and mentorship.

Responsibilities include shaping architecture for distributed systems, data pipelines, and batch processing, partnering with product teams, and ensuring reliable, scalable backend services across AWS and Kubernetes environments.