Senior Data Ingestion Engineer - Remote (LATAM)

Jobgether; Buenos Aires; Remote; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's 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. You will be a technical bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors for complex environments.

You will work with Python and Go, build production-grade services, and collaborate with cross-functional teams to ensure reliable, secure deployments across cloud platforms.

Qualifications

• 10+ years of professional software/ data/platform engineering experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong debugging skills across APIs, infrastructure, networking, and data pipelines.
• Experience working with customers and translating 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, SIEMs, and network infrastructure.
• Work directly with enterprise customers to understand environments, data flows, and integration constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for high-volume data like security events and logs.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services using Python and/or Go.
• Work with SQL/NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployments across multiple layers.
• Collaborate with Solution Architects, Sales Engineering, and Product teams.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

Git

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will be a technical bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors for complex environments.

You will work with Python and Go, build production-grade services, and collaborate with cross-functional teams to ensure reliable, secure deployments across cloud platforms.