Senior Data Ingestion Engineer — Remote LATAM

Outlier; Neuquén; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer to own data ingestion, connectors, and integrations for an Identity Security platform. You’ll engage with enterprise customers to map data sources, design scalable ingestion pipelines, and implement robust data collection across cloud and on-prem environments.

You will collaborate with cross-functional teams, deliver reliable data flows, and contribute to product improvements based on real-world deployments.

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 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 Git-based workflows and CI/CD practices.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, applications, and SIEM systems.
• Work directly with enterprise customers to understand environments and data flows.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases for storage, transformation, and queries.
• 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.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor on data architecture, collection strategies, and security integrations.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

SQL

NoSQL

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is hiring a Senior Data Engineer to own data ingestion, connectors, and integrations for an Identity Security platform. You’ll engage with enterprise customers to map data sources, design scalable ingestion pipelines, and implement robust data collection across cloud and on-prem environments.

You will collaborate with cross-functional teams, deliver reliable data flows, and contribute to product improvements based on real-world deployments.