Senior Data Ingestion Engineer - Remote (Python/Go)

Bluelight; Ciudad de Mendoza; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. You will design scalable ingestion pipelines across cloud and on-prem environments, working with Python/Go, REST APIs, and modern data architectures in a remote LATAM setup.

The role emphasizes collaboration with customers, solution architecture, and security-conscious data integration, with opportunities for on-site engagements when needed.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with AWS, Azure, and GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
• High degree of autonomy and ownership when solving ambiguous technical problems.

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 production 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 operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and security integrations.
• Identify recurring customer requirements and transform them into reusable connectors or product 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

Connector frameworks

Integration platforms

SQL/NoSQL databases

CI/CD

Distributed systems

Git workflows

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. You will design scalable ingestion pipelines across cloud and on-prem environments, working with Python/Go, REST APIs, and modern data architectures in a remote LATAM setup.

The role emphasizes collaboration with customers, solution architecture, and security-conscious data integration, with opportunities for on-site engagements when needed.