Senior Data Engineer — Ingestion & Integrations (Remote)

Bluelight Consulting, Llc; Buenos Aires; Remote; ARS 92,241,000 - 184,482,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

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 serve as a technical bridge between enterprise customers and the engineering team in a 100% remote LATAM role.

You will design scalable ingestion architectures, build connectors, and deploy services with Python and Go, Docker, and Kubernetes across AWS, Azure, and GCP, while collaborating with customers and internal teams to ensure reliable, secure data flows.

Qualifications

• 10+ years in software, data, or platform engineering.
• Strong Python and Go experience.
• Proven ability to design and consume REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with enterprise data sources and complex environments.
• Proficiency with SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, SIEMs, and security telemetry.
• Work directly with customers to understand environments and data flows.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployment issues across application, infrastructure, and data layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering.

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team in a 100% remote LATAM role.

You will design scalable ingestion architectures, build connectors, and deploy services with Python and Go, Docker, and Kubernetes across AWS, Azure, and GCP, while collaborating with customers and internal teams to ensure reliable, secure data flows.