Senior Data Ingestion & Integration Engineer (Remote)

Heinsohn Business Technology; Neuquén; Remote; ARS 166,601,000 - 227,183,000; 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 partners with a cybersecurity company to deliver a next-generation Identity Security and Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers and our engineering teams.

You will design scalable ingestion pipelines, work with Python and Go, and collaborate across teams to ensure reliable, secure data solutions in cloud environments.

Qualifications

• 10+ years in software/data engineering or related fields.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and integration platforms.

Responsibilities

• Design 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 from discovery to 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 practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployment and integration issues across layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform capabilities.
• Contribute technical insights from real-world implementations to the product roadmap.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft partners with a cybersecurity company to deliver a next-generation Identity Security and Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers and our engineering teams.

You will design scalable ingestion pipelines, work with Python and Go, and collaborate across teams to ensure reliable, secure data solutions in cloud environments.