Senior Data Ingestion Engineer - Remote LATAM

Bbva; Buenos Aires; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor pay in USD

100% remote

Argentine holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a customer-facing engineering team. You will design scalable connectors and ingestion pipelines, work with Python and Go, and collaborate with security-focused customers across LATAM.

You'll partner with Solutions Architects, Sales Engineering, and Product to translate complex enterprise data sources into reliable platform integrations, contributing to product roadmap and fastest time-to-value for

Qualifications

• 10+ years of professional software or data engineering experience.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and integration platforms.
• Experience with REST APIs and cloud-native services.
• Experience with Docker and Kubernetes.
• Experience with SQL and NoSQL databases.
• Experience working directly with customers or partners.

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 and integration constraints.
• Participate in technical onboarding processes, from discovery and architecture design through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• 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 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 data architecture, collection strategies, security integrations, and best practices.
• Identify recurring customer requirements and transform them into reusable connectors and 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

10+ years experience

Communication skills

Customer-facing experience

Autonomy

Strong debugging skills

Tools

Python

Go

REST APIs

Docker

Kubernetes

SQL

NoSQL

Cloud platforms (AWS, Azure, GCP)

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a customer-facing engineering team. You will design scalable connectors and ingestion pipelines, work with Python and Go, and collaborate with security-focused customers across LATAM.

You'll partner with Solutions Architects, Sales Engineering, and Product to translate complex enterprise data sources into reliable platform integrations, contributing to product roadmap and fastest time-to-value for