Senior Data Engineer: Ingestion & Connectors (Remote)

Visa Hunt; La Pampa; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

Job summary

Darwoft is partnering with a cybersecurity company to build an Identity Security and Identity Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and our engineering team.

You will design and implement scalable ingestion mechanisms, collaborate with customers to understand environments, and ensure reliable data pipelines across cloud platforms. This is a fully remote LATAM position.

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 CI/CD practices and Git-based workflows.
• Ability to translate complex customer requirements into pragmatic technical solutions.

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, and integration constraints.
• Participate in technical onboarding from discovery to production 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.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering.
• Act as a trusted technical advisor on data architecture and implementation best practices.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

CI/CD

SQL

NoSQL

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Darwoft is partnering with a cybersecurity company to build an Identity Security and Identity Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and our engineering team.

You will design and implement scalable ingestion mechanisms, collaborate with customers to understand environments, and ensure reliable data pipelines across cloud platforms. This is a fully remote LATAM position.