Remote Senior Data Ingestion Engineer (Python/Go)

Netrix Global; Santa Fe Capital; Remote; ARS 166,601,000 - 257,474,000; 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 is seeking a Senior Data Engineer (Python/Go) to lead data ingestion and integrations for a cybersecurity platform. You’ll design connectors, ingestion pipelines, and cloud-based solutions while working with enterprise customers.

You'll collaborate across engineering, solution architecture, and customer success to ensure reliable, scalable data flows across AWS, Azure, and GCP, with a strong emphasis on security and performance. Remote LATAM-friendly.

Qualifications

• 10+ years of professional software/ data engineering or related experience.
• Strong Python and Go development.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases and cloud deployments.
• Customer-facing roles and ability to translate requirements into technical solutions.

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 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 network telemetry.
• 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 environments.
• Troubleshoot complex customer deployment and integration issues across app, infra, 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 onsite engagements.

Skills

Python

Go

Data ingestion

REST APIs

Docker

Kubernetes

SQL

NoSQL

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) to lead data ingestion and integrations for a cybersecurity platform. You’ll design connectors, ingestion pipelines, and cloud-based solutions while working with enterprise customers.

You'll collaborate across engineering, solution architecture, and customer success to ensure reliable, scalable data flows across AWS, Azure, and GCP, with a strong emphasis on security and performance. Remote LATAM-friendly.