Senior Data Engineer: Ingest & Connectors (Remote LATAM)

Visa Hunt; Tandil; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor USD

100% remote

English classes

Learning platforms

Referral program

Argentina holidays

Job summary

Darwoft is partnering with a cybersecurity innovator to build a next-generation Identity Security and Observability platform. The Senior Data Engineer will design ingestion pipelines and connectors, working directly with customers to translate complex environments into reliable data integrations.

You will leverage Python/Go, REST APIs, and cloud-native architectures, collaborating with cross-functional teams and contributing to scalable, secure data solutions in a 100% remote LATAM setting.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines or integration platforms.
• Experience with Docker and Kubernetes in production.
• Cloud platform experience (AWS/Azure/GCP).

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and constraints; translate into scalable ingestion solutions.
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.
• Build and operate containerized services with Docker/Kubernetes; deploy across AWS/Azure/GCP.

Skills

Python

Go

REST APIs

Data ingestion

Cloud

CI/CD

Git

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is partnering with a cybersecurity innovator to build a next-generation Identity Security and Observability platform. The Senior Data Engineer will design ingestion pipelines and connectors, working directly with customers to translate complex environments into reliable data integrations.

You will leverage Python/Go, REST APIs, and cloud-native architectures, collaborating with cross-functional teams and contributing to scalable, secure data solutions in a 100% remote LATAM setting.