Remote Senior Data Engineer - Ingest, Integrate & Scale

JPMorgan Chase & Co.

Municipio de Rincón de los Sauces

Remote

ARS 136,310,000 - 196,892,000

Full time

46 hours ago
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Benefits offered by this job

Contractor agreement with payment in $
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer to join our Identity Security project, focusing on data ingestion, integrations, and connectors. You’ll bridge enterprise customers and engineering, designing scalable ingestion pipelines and reusable connectors.

This 100% remote role in LATAM requires strong Python/Go, REST APIs, and cloud experience across AWS, Azure, and GCP. You’ll collaborate with customers, architects, and product teams to deliver reliable data flows.

Qualifications

  • 10+ years of professional Software Engineering or Data Engineering.
  • Strong Python and Go development experience.
  • Experience designing and consuming REST APIs.
  • Hands-on data ingestion pipelines and connector development.
  • Experience with multi-cloud environments and cloud native tooling.

Responsibilities

  • Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
  • Collaborate with customers to understand environments and requirements for integration.
  • Build scalable ingestion architectures for high-volume data like security events and logs.
  • Deploy solutions across AWS, Azure, and GCP and ensure reliability.

Skills

Python
Go
REST APIs
Data ingestion
Docker
Kubernetes
AWS/Azure/GCP

Tools

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer to join our Identity Security project, focusing on data ingestion, integrations, and connectors. You’ll bridge enterprise customers and engineering, designing scalable ingestion pipelines and reusable connectors.

This 100% remote role in LATAM requires strong Python/Go, REST APIs, and cloud experience across AWS, Azure, and GCP. You’ll collaborate with customers, architects, and product teams to deliver reliable data flows.

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