Senior Data Ingestion Engineer (Python/Go) — Remote

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

USD payment

Remote 100%

Argentine holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a cybersecurity platform project. You will design connectors and ingestion pipelines, work directly with enterprise customers to understand environments, and implement scalable ingestion solutions across AWS, Azure, and GCP.

You will leverage Python/Go, REST APIs, Docker, and Kubernetes to deliver reliable data pipelines, collaborate with cross-functional teams, and contribute to the product roadmap with

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.

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

REST APIs

Data ingestion

Distributed systems

CI/CD

Cloud platforms

Docker

Kubernetes

Customer-facing

Education

B.S. in Computer Science

Tools

Docker

Kubernetes

SQL/NoSQL

Git workflows

CI/CD pipelines

Cloud platforms

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a cybersecurity platform project. You will design connectors and ingestion pipelines, work directly with enterprise customers to understand environments, and implement scalable ingestion solutions across AWS, Azure, and GCP.

You will leverage Python/Go, REST APIs, Docker, and Kubernetes to deliver reliable data pipelines, collaborate with cross-functional teams, and contribute to the product roadmap with