Senior Data Ingestion Engineer — Remote LATAM

Itx-Jordan; Quilmes; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a cybersecurity-focused project. You will serve as a bridge between enterprise customers and engineering, designing scalable ingestion pipelines that securely ingest data from diverse enterprise sources.

You will work with Python and Go to build connectors, APIs, and ingestion services, while collaborating across cloud platforms (AWS/Azure/GCP) and containerized environments (Docker,

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with AWS, Azure or GCP.
• Experience working with Docker and Kubernetes.
• Strong CI/CD practices and Git workflows.
• Ability to translate customer requirements into pragmatic technical solutions.
• Strong communication skills for customer-facing discussions.

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.
• Engage with customers to understand environments, data flows, APIs, and constraints.
• Participate in onboarding, architecture design, and production deployments.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and telemetry.
• Build integrations using REST APIs, cloud services, event-driven architectures, and modern software practices.
• Develop backend services using Python and/or Go; work with SQL and NoSQL databases.
• Operate Docker and Kubernetes-based containerized services; deploy across AWS/Azure/GCP.
• Troubleshoot deployments and optimize performance; collaborate with cross-functional teams.
• Be a trusted advisor on data architecture, security integrations, and implementation best practices.
• Identify recurring customer requirements and translate into reusable connectors and platform improvements.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Customer-facing

Distributed systems

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a cybersecurity-focused project. You will serve as a bridge between enterprise customers and engineering, designing scalable ingestion pipelines that securely ingest data from diverse enterprise sources.

You will work with Python and Go to build connectors, APIs, and ingestion services, while collaborating across cloud platforms (AWS/Azure/GCP) and containerized environments (Docker,