Senior Data Ingestion & Integrations Engineer - Remote

Lateralgroup; Quilmes; Remote; ARS 154,540,000 - 216,357,000; 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 hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, build robust connectors, and work across cloud platforms.

The role combines data engineering with software engineering, solution architecture, cloud infrastructure, and technical consulting to deliver reliable, secure data ingestion for a cybersecurity platform.

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 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, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and 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 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 multiple layers.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Customer-facing

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering team. You will design scalable ingestion pipelines, build robust connectors, and work across cloud platforms.

The role combines data engineering with software engineering, solution architecture, cloud infrastructure, and technical consulting to deliver reliable, secure data ingestion for a cybersecurity platform.