Senior Data Ingestion Engineer - Remote LATAM

Unavailable; Buenos Aires; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Payment in USD

100% remote work

Public holidays (Argentina)

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to serve enterprise clients remotely across LATAM. You’ll design scalable ingestion pipelines and work closely with customers to tailor data solutions.

Responsibilities include building Python/Go services, Docker/Kubernetes deployments, and integrating with AWS, Azure, and GCP while ensuring security, reliability, and fast time-to-production in a hands-on role.

Qualifications

• 10+ years of professional software/data engineering experience.
• Strong Python and Go development.
• Experience designing REST APIs.
• Experience with SQL and NoSQL databases.
• Cloud experience on AWS, Azure, or GCP.
• Docker and Kubernetes proficiency.

Responsibilities

• Design, develop, and maintain data collectors and ingestion services.
• Integrate data sources across identity providers, cloud platforms, and security systems.
• Collaborate with customers to capture requirements and constraints.
• Build scalable ingestion architectures for high-volume data.
• Develop backend services with Python and/or Go.
• Deploy containers with Docker and Kubernetes.
• Work across AWS, Azure, and GCP environments.
• Troubleshoot deployments and optimize performance.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Integration platforms

Distributed systems

SQL

NoSQL databases

CI/CD practices

Docker

Kubernetes

Tools

Docker

Kubernetes

REST APIs

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to serve enterprise clients remotely across LATAM. You’ll design scalable ingestion pipelines and work closely with customers to tailor data solutions.

Responsibilities include building Python/Go services, Docker/Kubernetes deployments, and integrating with AWS, Azure, and GCP while ensuring security, reliability, and fast time-to-production in a hands-on role.