Data Platform Engineer II: Python & Distributed Systems

Checkr, Inc.

Santiago

Híbrido

CLP 41.259.000 - 48.540.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Learning and development stipend
Medical, dental, vision coverage
Extra vacation days
Hybrid work format

Descripción de la vacante

Checkr, Inc. in Santiago, Chile is seeking a Software Engineer II on the Data Acquisition team to help build scalable data platforms that support fair hiring decisions.

You will work with engineers in Chile and the US on end-to-end backend features, from design to production monitoring. You should have 4+ years of backend experience, strong Python (or Go), and hands-on knowledge of distributed systems, APIs, and data pipelines.

Formación

  • 4+ years of software engineering experience with a strong backend focus.
  • Proficient in Python (or Go) and building distributed systems, APIs or data pipelines.
  • Experience with containerized deployments — Docker, Kubernetes / EKS.
  • Familiarity with cloud platforms — AWS.
  • Excellent written and spoken English.

Responsabilidades

  • Work on development lifecycle for data platform features from design to production monitoring.
  • Design and build data acquisition platforms in Python focusing on reliability and observability.
  • Participate in architecture decisions and contribute to technical direction.
  • Improve platform visibility with logging, metrics, and alerts (Datadog, OpenTelemetry).
  • Collaborate with engineers in Chile and the US on async-first planning and execution.

Conocimientos

Backend development
Python
Go
Distributed systems
APIs
Data pipelines
Docker
Kubernetes
AWS
Ownership
English communication

Herramientas

Docker
Kubernetes
AWS

Descripción del empleo

Checkr, Inc. in Santiago, Chile is seeking a Software Engineer II on the Data Acquisition team to help build scalable data platforms that support fair hiring decisions.

You will work with engineers in Chile and the US on end-to-end backend features, from design to production monitoring. You should have 4+ years of backend experience, strong Python (or Go), and hands-on knowledge of distributed systems, APIs, and data pipelines.

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