Senior Data Engineer - Data Ingest & Integrations (Remote)

Webflow; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors for a security-focused platform. You will directly engage customers to map data sources, security requirements, and workflows, then design scalable ingestion mechanisms for high-volume data in cloud environments.

You will work with Python/Go to build backend services, REST APIs, and containerized deployments on AWS/Azure/GCP, while collaborating with a cross-functional team to deliver reliable,

Qualifications

• 10+ years in software, data, or platform engineering.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines.
• Strong cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.
• SQL and NoSQL databases.
• Customer-facing collaboration with stakeholders.
• CI/CD and distributed systems knowledge.
• Autonomy and ownership in startup-like environments.

Responsibilities

• Design, build, 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 through production 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 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 and security integrations.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and connectors for a security-focused platform. You will directly engage customers to map data sources, security requirements, and workflows, then design scalable ingestion mechanisms for high-volume data in cloud environments.

You will work with Python/Go to build backend services, REST APIs, and containerized deployments on AWS/Azure/GCP, while collaborating with a cross-functional team to deliver reliable,