Senior Data Ingestion Engineer — Remote LATAM

Proofpoint; Rosario; Remote; ARS 185,448,000 - 278,173,000; Full time

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, integrations, and collectors to act as a technical bridge with enterprise customers. You will design scalable ingestion mechanisms, build connectors, and work across cloud platforms to ensure reliable data flows for identity security and observability.

You will collaborate with Solution Architects and Customer Success teams, handle high-volume data sources, and drive production readiness of ingestion solutions while maintaining

Qualifications

• Proven ability to design and implement data ingestion pipelines and connectors.
• Experience with enterprise data sources and security data is a plus.
• Strong understanding of distributed systems and scalable architecture.

Responsibilities

• Design, develop, and maintain production-grade data ingestion connectors and pipelines.
• Collaborate with customers to understand data sources, security requirements, and integration constraints.
• Deploy and operate ingestion services in cloud environments (AWS/Azure/GCP).
• Mentor juniors and contribute to product roadmaps with practical insights.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

Customer-facing

CI/CD

Education

Bachelor's degree in Computer Science or equivalent

Tools

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as a technical bridge with enterprise customers. You will design scalable ingestion mechanisms, build connectors, and work across cloud platforms to ensure reliable data flows for identity security and observability.

You will collaborate with Solution Architects and Customer Success teams, handle high-volume data sources, and drive production readiness of ingestion solutions while maintaining