Senior Data Platform Engineer — Real-Time Lending

Affirm

Salt Lake City (UT)

In loco

USD 140.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health Insurance
Dental Insurance
Vision Insurance
Tech Spending Stipend
Health And Wellness Stipend
Flexible Time Off
Employee Stock Purchase Plan (ESPP)

Descrizione del lavoro

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.

Competenze

  • 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

Mansioni

  • 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

Conoscenze

Python
Kotlin
Distributed Systems
Backend Development
Data Pipelines
System Design
Code Review
Technical Leadership
API Design
Scalability
Batch Processing

Formazione

Bachelor's degree in related field

Strumenti

AWS
MySQL
Kubernetes
Spark
Airflow

Descrizione del lavoro

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.

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