Senior Data Ingestion Engineer: Connectors & Cloud Remote

Bluelight; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines, connectors, and enterprise integrations across cloud platforms.

You will work with Python/Go, REST APIs, and containerized services (Docker/Kubernetes) to deliver reliable, scalable solutions in a 100% remote LATAM setup.

Qualifications

• 10+ years of professional Software/Data/Platform engineering or related.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and connectors.
• Strong SQL and NoSQL database knowledge.
• Production cloud experience with AWS/Azure/GCP.
• Experience with Docker, Kubernetes, and CI/CD practices.

Responsibilities

• Design, develop, and maintain production-grade data ingestion services and connectors.
• Integrate enterprise data sources across identity, cloud, network, and security platforms.
• Collaborate with customers to understand environments, data flows, and APIs.
• Build scalable ingestion architectures for high-volume data like logs and events.
• Develop backend services in Python and/or Go, using SQL/NoSQL stores.
• Deploy and operate containerized services on Docker and Kubernetes.
• Work across AWS, Azure, and GCP environments and ensure reliability.
• Troubleshoot complex deployment and integration issues across layers.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud (AWS/Azure/GCP)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines, connectors, and enterprise integrations across cloud platforms.

You will work with Python/Go, REST APIs, and containerized services (Docker/Kubernetes) to deliver reliable, scalable solutions in a 100% remote LATAM setup.