Senior Data Engineer - Ingestion & Integrations (Remote)

Outlier; La Pampa; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Contractor offers USD payment

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 join our remote LATAM team. You will bridge customers and engineering, designing scalable ingestion pipelines.

You will work with Python and Go, REST APIs, cloud platforms, SQL/NoSQL, and Docker/Kubernetes to deliver reliable, scalable data integrations for security platforms. This remote role offers 100% LATAM coverage, collaboration with distributed teams, and exposure to enterprise customers

Qualifications

• 10+ years of professional software/data engineering or related experience.
• Strong Python and Go development experience.
• Experience building data ingestion pipelines or connectors.
• Experience with cloud platforms (AWS/Azure/GCP).
• Strong knowledge of 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 initial discovery and architecture design through production 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 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 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, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Skills

Python

Go

Data ingestion

Cloud

SQL/NoSQL

REST APIs

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You will bridge customers and engineering, designing scalable ingestion pipelines.

You will work with Python and Go, REST APIs, cloud platforms, SQL/NoSQL, and Docker/Kubernetes to deliver reliable, scalable data integrations for security platforms. This remote role offers 100% LATAM coverage, collaboration with distributed teams, and exposure to enterprise customers