Remote Senior Data Ingestion Engineer (Connectors)

Allshore Talent; La Pampa; Remote; ARS 139,086,000 - 231,811,000; 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 (Python/Go) focused on data ingestion, integrations, and collectors for a cybersecurity identity platform. You will collaborate with enterprise customers to design scalable ingestion pipelines, connectors, and backend services across cloud environments.

The role requires hands-on experience with data pipelines, REST APIs, and containerized services using Docker and Kubernetes, with remote work available across LATAM.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong Python and Go development skills.
• Experience building data ingestion pipelines and connectors.
• Experience with REST APIs and integration platforms.
• Docker and Kubernetes experience in production environments.
• Cloud experience (AWS/Azure/GCP).
• Proficiency with SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources (IdPs, cloud platforms, SIEMs, endpoints) for ingestion into the platform.
• Collaborate with customers to understand environments, data flows, and integration constraints.
• Build scalable ingestion architectures for high-volume data sources (events, logs, telemetry).
• Develop backend services primarily with Python and/or Go; use Docker/Kubernetes for deployment.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

CI/CD

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a cybersecurity identity platform. You will collaborate with enterprise customers to design scalable ingestion pipelines, connectors, and backend services across cloud environments.

The role requires hands-on experience with data pipelines, REST APIs, and containerized services using Docker and Kubernetes, with remote work available across LATAM.