Senior Data Ingestion Engineer (Remote) Cloud Integrations

Baker Hughes Company; Neuquén; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines using Python/Go, build connectors, and work closely with security-focused clients to deploy reliable data flows.

You will collaborate with Solution Architects and Customer Success, own end-to-end deployments, and translate customer requirements into practical platform capabilities while maintaining

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 and integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience 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 ability to operate in customer-facing 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 and architecture design 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 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.
• Troubleshoot complex customer deployment and integration issues across API, data, networking, and infrastructure layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and implementation best practices.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

AWS

Azure

GCP

CI/CD practices

Git workflows

Distributed systems

SQL

NoSQL

Customer facing

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines using Python/Go, build connectors, and work closely with security-focused clients to deploy reliable data flows.

You will collaborate with Solution Architects and Customer Success, own end-to-end deployments, and translate customer requirements into practical platform capabilities while maintaining