Remote Senior Data Ingestion Engineer (Python/Go)

Bluelight; Neuquén; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) for a 100% remote role focused on data ingestion and integrations in LATAM. You will collaborate with customers to design scalable ingestion pipelines, connectors, and architectures across cloud and on-prem environments.

You will build production-grade services, work with diverse data sources, and drive reliable deployments while shaping the product with insights from real-world implementations.

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, or 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 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 practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases for storage, transformation, and analysis of 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 multiple 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 on data architecture, collection strategies, and implementation best practices.
• Identify recurring customer requirements and translate them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap from real-world implementations.
• 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

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Customer-facing

Tools

Docker

Kubernetes

Git

CI/CD tools

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) for a 100% remote role focused on data ingestion and integrations in LATAM. You will collaborate with customers to design scalable ingestion pipelines, connectors, and architectures across cloud and on-prem environments.

You will build production-grade services, work with diverse data sources, and drive reliable deployments while shaping the product with insights from real-world implementations.