Senior Data Ingestion Engineer — Remote (LATAM)

Applaudo; La Pampa; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors. This role bridges enterprise customers with engineering, handling data from identity security platforms across cloud, SaaS, network, and on-prem environments.

You will design scalable ingestion pipelines, work on REST APIs, and deploy solutions in AWS, Azure, and GCP. Expect a remote LATAM setup with customer-facing engagement and strong autonomy.

Qualifications

• 10+ years in software/data engineering or related roles.
• Proficiency in Python and Go.
• Experience building data ingestion pipelines and integrations.
• Cloud experience with major providers (AWS/Azure/GCP).

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources like IdPs, cloud platforms, SIEMs, and endpoints.
• Work with customers to understand environments, data flows, security requirements, and APIs.
• Build scalable ingestion architectures for high-volume data including security events and logs.
• Develop backend services using Python and/or Go, and work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes and deploy across AWS/Azure/GCP.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

CI/CD

Distributed systems

Cloud platforms

Debugging

Customer-facing

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors. This role bridges enterprise customers with engineering, handling data from identity security platforms across cloud, SaaS, network, and on-prem environments.

You will design scalable ingestion pipelines, work on REST APIs, and deploy solutions in AWS, Azure, and GCP. Expect a remote LATAM setup with customer-facing engagement and strong autonomy.