Senior Data Ingestion Engineer — Remote (LATAM)

Baker Hughes Company; La Pampa; Remote; ARS 185,357,000 - 247,142,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina 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 for a 100% remote role in LATAM. You will collaborate with customers to design scalable ingestion pipelines, connectors, and backend services using Python/Go, while working across AWS, Azure, and GCP environments.

You will engage in architecture discussions, implement reliable data flows, and drive production-ready solutions with a strong emphasis on security, performance, and scalability.

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.

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 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.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will collaborate with customers to design scalable ingestion pipelines, connectors, and backend services using Python/Go, while working across AWS, Azure, and GCP environments.

You will engage in architecture discussions, implement reliable data flows, and drive production-ready solutions with a strong emphasis on security, performance, and scalability.