Remote Senior DataOps Engineer - Ingestion & Analytics

Power Digital Marketing; Neuquén; Remote; ARS 181,747,000 - 272,620,000; Full time

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a customer-facing, data-driven engineering team. You will design scalable ingestion pipelines, connectors, and services that ingest data from enterprise environments into a cybersecurity data platform.

You will work across Python/Go, cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and CI/CD, while collaborating with Architects, Sales Engineering, and Customer Success to

Qualifications

• 10+ years of professional Software/Data/Platform Engineering, or related experience.
• Strong proficiency in Python and bash, and fluency in SQL as a second language.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.

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, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery and architecture design through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.

Skills

Python

Go

SQL

bash

Tools

Terraform

GitHub

Docker

dbt

AWS

Azure

GCP

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a customer-facing, data-driven engineering team. You will design scalable ingestion pipelines, connectors, and services that ingest data from enterprise environments into a cybersecurity data platform.

You will work across Python/Go, cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and CI/CD, while collaborating with Architects, Sales Engineering, and Customer Success to