Senior Data Engineer: Ingestion & Integrations (Remote)

Scaleup; Ciudad de Mendoza; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our Identity Security project. You will work directly with enterprise customers to understand their data sources, security requirements, and workflows, then design scalable ingestion pipelines and connectors using Python and Go.

You will build and operate containerized services with Docker and Kubernetes, deploy across AWS, Azure, and GCP, and translate complex requirements into robust

Qualifications

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development experience.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with cloud providers (AWS, Azure, GCP).
• Experience working with customers and translating requirements to technical solutions.

Responsibilities

• Design, develop, and maintain 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 with enterprise customers to understand 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

REST APIs

Data ingestion pipelines

Cloud platforms (AWS/Azure/GCP)

Docker

Kubernetes

CI/CD

Customer-facing

Distributed systems

SQL/NoSQL

Tools

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our Identity Security project. You will work directly with enterprise customers to understand their data sources, security requirements, and workflows, then design scalable ingestion pipelines and connectors using Python and Go.

You will build and operate containerized services with Docker and Kubernetes, deploy across AWS, Azure, and GCP, and translate complex requirements into robust