Senior Data Ingestion & Integrations Engineer - Remote

Medifé; Tandil; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in 0

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, integrations, and collectors to bridge enterprise customers and engineering. This role blends data engineering, software development, and cloud strategy in a 100% remote LATAM setup.

You will build scalable ingestion pipelines, collaborate with customers to gather requirements, and deliver reliable connectors across AWS, Azure, and GCP environments, ensuring security and efficiency.

Qualifications

• 10+ years of professional Software/ Data/ Platform Engineering experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines and integration platforms.
• Production cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based workflows and CI/CD practices.
• Ability to translate 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 environments, data flows, APIs, security requirements, and integration constraints.
• Participate in onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for high-volume data like security events and logs.
• 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 for storage, transformation, and querying of large datasets.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture and integration best practices.
• Transform recurring customer requirements into reusable connectors and platform capabilities.
• Contribute insights to the product roadmap and support time-to-value for customers.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. This role blends data engineering, software development, and cloud strategy in a 100% remote LATAM setup.

You will build scalable ingestion pipelines, collaborate with customers to gather requirements, and deliver reliable connectors across AWS, Azure, and GCP environments, ensuring security and efficiency.