Senior Data Engineer: Ingestion & Integrations (Remote)

Musimundo; La Pampa; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

Job summary

Darwoft is partnering with a cybersecurity-focused product to hire a Senior Data Engineer focused on data ingestion and integrations. The role involves building connectors, ingestion pipelines, and scalable services in Python and Go, and working directly with enterprise customers to understand data sources and security requirements.

You'll deploy on AWS/Azure/GCP, use Docker and Kubernetes, and collaborate with Solution Architects and Engineering teams to deliver reliable, high-volume data

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 their environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering 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 environments.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data 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 around customer data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Skills

Python

Go

Data Ingestion

Cloud

REST APIs

Data Pipelines

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is partnering with a cybersecurity-focused product to hire a Senior Data Engineer focused on data ingestion and integrations. The role involves building connectors, ingestion pipelines, and scalable services in Python and Go, and working directly with enterprise customers to understand data sources and security requirements.

You'll deploy on AWS/Azure/GCP, use Docker and Kubernetes, and collaborate with Solution Architects and Engineering teams to deliver reliable, high-volume data