Senior Data Engineer - Ingestion & Integrations (Remote LATAM)

Arionkoder; La Pampa; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers and the engineering team. This role goes beyond traditional backend work and requires hands-on design of scalable ingestion pipelines and reliable data collectors.

You will collaborate with customers to understand data sources, security requirements, and workflows, then implement solutions across AWS, Azure, and GCP using Python and Go, Docker, and Kubernetes.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines and connectors.

Responsibilities

• Design 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 directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery and architecture design to 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 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

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers and the engineering team. This role goes beyond traditional backend work and requires hands-on design of scalable ingestion pipelines and reliable data collectors.

You will collaborate with customers to understand data sources, security requirements, and workflows, then implement solutions across AWS, Azure, and GCP using Python and Go, Docker, and Kubernetes.