Senior Data Engineer: Ingestion & Cloud Connectors

Rm Staffing B.V.; Municipio de Rincón de los Sauces; Remote; ARS 123,632,000 - 185,448,000; Full time

Benefits offered by this job

Payment in USD

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 and Integrations to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines, connectors, and ingestion services, working closely with customers to understand data sources, security requirements, and API constraints.

The role combines data engineering, software engineering, cloud infrastructure, and technical consulting across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines and integration platforms.
• Strong cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.
• Familiarity with 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 environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to 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 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 deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion and Integrations to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines, connectors, and ingestion services, working closely with customers to understand data sources, security requirements, and API constraints.

The role combines data engineering, software engineering, cloud infrastructure, and technical consulting across AWS, Azure, and GCP.