Senior Data Ingestion Engineer - Remote LATAM

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

USD payment

Remote work

Public holidays (Argentina)?

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will design and implement scalable ingestion pipelines, connect with enterprise data sources, and collaborate with customers to ensure secure, reliable data flows.

You will work across cloud environments (AWS, Azure, GCP), use Docker/Kubernetes, and contribute to the platform with a strong emphasis on reliability, performance, and production-readiness.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments and data flows.
• Participate in onboarding, architecture design, and deployment for integrations.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.

Skills

Python

Go

REST APIs

Data ingestion

Customer-facing

Distributed systems

Debugging

Cloud concepts

SQL/NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will design and implement scalable ingestion pipelines, connect with enterprise data sources, and collaborate with customers to ensure secure, reliable data flows.

You will work across cloud environments (AWS, Azure, GCP), use Docker/Kubernetes, and contribute to the platform with a strong emphasis on reliability, performance, and production-readiness.