Remote Senior Data Engineer (Python/Go Ingestion)

Psi; La Pampa; Remote; ARS 92,241,000 - 184,482,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, connectors, and ingestion services. You will work directly with enterprise customers to understand their environments, data sources, and security requirements, then design scalable ingestion solutions and integration workflows.

You'll combine data engineering, software engineering, solution architecture, and cloud infrastructure to build reliable connectors.

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with cloud providers (AWS/Azure/GCP) and container orchestration.
• Experience with SQL and NoSQL databases.
• Experience with Docker and Kubernetes.
• Experience working with customers or stakeholders.
• Strong problem-solving and communication skills.

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 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 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 ops efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor around data architecture, collection strategies, security integrations, and best practices.
• Identify recurring customer requirements and turn them into reusable connectors or platform improvements.
• Contribute technical insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion

CI/CD

Git workflows

Distributed systems

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, connectors, and ingestion services. You will work directly with enterprise customers to understand their environments, data sources, and security requirements, then design scalable ingestion solutions and integration workflows.

You'll combine data engineering, software engineering, solution architecture, and cloud infrastructure to build reliable connectors.