Senior Data Engineer - DataOps & Ingestion (Remote)

Solicitud De Empleo Para Ingeniero De Datos Senior En Encora; Neuquén; A distancia; ARS 91.155.000 - 182.310.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in U

100% remote work

English classes

Access to learning platforms

Referral program

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our customer-focused team. You will design and implement scalable ingestion mechanisms, connectors, and pipelines that feed a high-volume data platform.

You will work directly with enterprise customers, crafting data ingestion architectures, integrating diverse data sources, and ensuring reliability, security, and fast time-to-production in cloud environments.

Formación

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment.
• Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel).
• Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling.
• Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines.
• Python proficiency for custom API connections and pipeline automation.
• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot).
• Strong communication skills and ability to operate effectively in customer-facing technical conversations.

Responsabilidades

• 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 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.
• Build and operate containerized services using Docker and Kubernetes; deploy across AWS, Azure, and GCP environments.
• Troubleshoot customer deployment issues; optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Conocimientos

Python

Go

REST APIs

SQL

NoSQL

Docker

Kubernetes

CI/CD

Data ingestion

Data modeling

Herramientas

Docker

Kubernetes

GitHub

Terraform

dbt

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our customer-focused team. You will design and implement scalable ingestion mechanisms, connectors, and pipelines that feed a high-volume data platform.

You will work directly with enterprise customers, crafting data ingestion architectures, integrating diverse data sources, and ensuring reliability, security, and fast time-to-production in cloud environments.