Senior Data Engineer: Ingestion & Integrations (Remote)

Supportyourapp-1; La Pampa; Remote; ARS 139,086,000 - 200,903,000; 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 hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors. You will design scalable ingestion pipelines, ingest data from enterprise environments, and collaborate with customers to translate complex data requirements into practical implementations.

You will work across Python/Go, REST APIs, cloud platforms (AWS/Azure/GCP), and containerized services with Docker and Kubernetes, delivering secure, reliable data flows for an Identity Security platform.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong development in Python and Go.
• Experience designing and consuming REST APIs.

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, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Participate in technical onboarding, architecture design, and production deployment.

Skills

Python

Go

REST APIs

Ingestion pipelines

Docker

Kubernetes

Cloud platforms

SQL/NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors. You will design scalable ingestion pipelines, ingest data from enterprise environments, and collaborate with customers to translate complex data requirements into practical implementations.

You will work across Python/Go, REST APIs, cloud platforms (AWS/Azure/GCP), and containerized services with Docker and Kubernetes, delivering secure, reliable data flows for an Identity Security platform.