Remote Senior Data Ingestion Engineer - Cloud & Identity

Epam Systems Inc; La Pampa; Remote; ARS 185,819,000 - 278,728,000; 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 (Remote LATAM) to design and implement scalable data ingestion solutions and connectors for an Identity Security platform. You will work closely with customers to understand their data sources and security requirements, and you will build robust ingestion pipelines that operate across cloud environments.

You will leverage Python and Go to develop backend services, deploy with Docker and Kubernetes, and integrate with AWS, Azure, and GCP.

Qualifications

• 10+ years of software/ data engineering experience.
• Strong Python and Go development.
• Experience building data ingestion pipelines and connectors.

Responsibilities

• Design, develop, and maintain 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 deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, 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 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 application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion pipelines

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

SQL

NoSQL

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer (Remote LATAM) to design and implement scalable data ingestion solutions and connectors for an Identity Security platform. You will work closely with customers to understand their data sources and security requirements, and you will build robust ingestion pipelines that operate across cloud environments.

You will leverage Python and Go to develop backend services, deploy with Docker and Kubernetes, and integrate with AWS, Azure, and GCP.