Senior Data Ingestion Engineer — Remote

Bluelightconsulting; Ciudad de Mendoza; Remote; ARS 92,724,000 - 169,994,000; Full time

Benefits offered by this job

Contractor agreement with payment in $

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 Connectors to join our remote LATAM team. You will design scalable ingestion pipelines, collaborate with customers, and work across Python/Go, cloud, and data platforms to deliver reliable integrations.

This role involves engaging with enterprise clients, building robust data pipelines, and contributing to security-oriented data solutions in a highly collaborative environment.

Qualifications

• 10+ years in software/data/platform engineering roles.
• Proficiency in Python and Go.
• Experience with cloud platforms and data ingestion systems.
• Strong customer-facing collaboration and problem-solving.

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, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to 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 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 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 product improvements.
• 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 onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Connectors to join our remote LATAM team. You will design scalable ingestion pipelines, collaborate with customers, and work across Python/Go, cloud, and data platforms to deliver reliable integrations.

This role involves engaging with enterprise clients, building robust data pipelines, and contributing to security-oriented data solutions in a highly collaborative environment.