Senior Data Ingestion & Integrations Engineer - Remote LATAM

AgileEngine, LLC.; Municipio de Rincón de los Sauces; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations. You will work with enterprise customers to design scalable connectors, ingestion pipelines, and data collectors, combining data engineering, software engineering, and solution architecture.

The role is remote across LATAM, with a strong emphasis on reliability and security. You will build and evolve ingestion pipelines, integrate diverse data sources, and collaborate with multiple internal teams to deliver

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 SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering 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 application, infrastructure, networking, API, and data layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations. You will work with enterprise customers to design scalable connectors, ingestion pipelines, and data collectors, combining data engineering, software engineering, and solution architecture.

The role is remote across LATAM, with a strong emphasis on reliability and security. You will build and evolve ingestion pipelines, integrate diverse data sources, and collaborate with multiple internal teams to deliver