Senior Data Engineer - Ingest & Integrations (Remote)

Encora10; Municipio de Rincón de los Sauces; Remote; ARS 184,649,000 - 276,974,000; Full time

Benefits offered by this job

USD payment contract

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will work directly with customers to design scalable ingestion pipelines, combining data engineering with cloud infrastructure and consulting.

The role emphasizes reliability, security, and fast time-to-production across AWS, Azure, and GCP. You'll build connectors and ingestion services in Python and Go, running in Docker/Kubernetes, and collaborate with Solution Architects, Sales Engineering,

Qualifications

• 10+ years of professional software/data/ platform engineering experience.
• Proficient in Python and Go; strong REST API design and consumption.
• Experience building data ingestion pipelines and connectors.
• Cloud experience (AWS/Azure/GCP) and CI/CD practice.
• Knowledge of SQL and NoSQL databases; containerized services (Docker/Kubernetes).

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work with customers to understand environments and constraints; implement scalable ingestion solutions.
• Build and operate in Docker/Kubernetes and deploy across AWS/Azure/GCP.
• Collaborate with cross-functional teams and act as a technical advisor on data architecture.

Tools

Python

Go

REST APIs

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will work directly with customers to design scalable ingestion pipelines, combining data engineering with cloud infrastructure and consulting.

The role emphasizes reliability, security, and fast time-to-production across AWS, Azure, and GCP. You'll build connectors and ingestion services in Python and Go, running in Docker/Kubernetes, and collaborate with Solution Architects, Sales Engineering,