Senior Data Ingestion Engineer — Remote (LATAM)

Darwoft; Santa Fe Capital; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Contractor paid in USD

100% remote

Argentina's public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft, a Latin American technology company, builds custom software solutions and partners with international clients to deliver high-impact digital products. We operate 100% remotely in LATAM and work on a cybersecurity-focused Identity Security platform.

The Senior Data Engineer will design data ingestion systems, connectors, and solutions for enterprise customers, collaborating across engineering and customer teams to ensure scalable, secure data integration.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong 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 SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based development 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 solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments and data flows for integration constraints.
• Participate in onboarding, architecture design, and production deployment processes.
• Design scalable ingestion architectures for processing security events, logs, and network telemetry.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and query 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 API, data, and infrastructure layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft, a Latin American technology company, builds custom software solutions and partners with international clients to deliver high-impact digital products. We operate 100% remotely in LATAM and work on a cybersecurity-focused Identity Security platform.

The Senior Data Engineer will design data ingestion systems, connectors, and solutions for enterprise customers, collaborating across engineering and customer teams to ensure scalable, secure data integration.