Senior Data Ingestion & Integration Engineer - Remote LATAM

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Argentina's public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. You will design scalable ingestion pipelines, integrate diverse data sources, and collaborate with cross-functional teams in a 100% remote LATAM context.

You will work with Python/Go, REST APIs, and cloud platforms across AWS, Azure, and GCP, building reliable, scalable connectors for complex enterprise environments.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong 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 at least one major cloud platform: AWS, Azure or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across API, data, and infrastructure layers.
• Optimize ingestion performance, reliability, and time-to-production.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted advisor on data architecture, collection strategies, security integrations, and best practices.
• Identify recurring customer requirements and transform them into reusable connectors and platform capabilities.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD tooling

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. You will design scalable ingestion pipelines, integrate diverse data sources, and collaborate with cross-functional teams in a 100% remote LATAM context.

You will work with Python/Go, REST APIs, and cloud platforms across AWS, Azure, and GCP, building reliable, scalable connectors for complex enterprise environments.