Senior Data Engineer - Ingestion & Connectors (Remote LATAM)

Arionkoder

Municipio de Rincón de los Sauces

Remote

ARS 138,361,000 - 215,229,000

Full time

45 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 focused on data ingestion, connectors, and ingestion services. You will work directly with enterprise customers to understand their data sources, security requirements, and integration constraints, then design scalable ingestion pipelines to bring data into the platform.

You will combine data engineering, software engineering, and cloud infrastructure to implement reliable connectors and production-grade ingestion solutions across AWS, Azure, and GCP

Qualifications

  • 10+ years of professional software/data/platform engineering experience.
  • Strong Python and Go development experience.
  • Experience with REST APIs and data ingestion pipelines.

Responsibilities

  • Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure.
  • Work directly with customers to understand environments, data flows, and integration constraints.
  • Develop scalable ingestion architectures for high-volume data like security events and logs.
  • Build integrations using REST APIs, cloud-native services, and event-driven architectures.

Skills

10+ years experience
Python
Go
REST APIs
Data ingestion
SQL
NoSQL
Cloud platforms
Docker
Kubernetes
CI/CD
Distributed systems
Customer-facing

Tools

Docker
Kubernetes
AWS
Azure
GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and ingestion services. You will work directly with enterprise customers to understand their data sources, security requirements, and integration constraints, then design scalable ingestion pipelines to bring data into the platform.

You will combine data engineering, software engineering, and cloud infrastructure to implement reliable connectors and production-grade ingestion solutions across AWS, Azure, and GCP

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