Senior Data Engineer — Cloud Ingestion & Pipelines (Remote)

Bluelight Consulting, Llc; Tandil; A distancia; ARS 91.242.000 - 136.863.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is partnering with a cybersecurity platform to build data ingestion connectors for enterprise environments. As a Senior Data Engineer focused on data ingestion and integrations, you will design scalable pipelines, work with Python/Go, and collaborate with customers to translate requirements into robust data solutions.

This 100% remote LATAM role offers high-visibility projects, multi‑client data environments, and opportunities to shape how security data is collected and analyzed across

Formación

• 5+ years hands-on data engineering in marketing/agency environments.
• Experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms.
• SQL with BigQuery in transformation, partitioning, and modeling.
• Expertise with dbt or Dataform and modular pipelines.
• Python for custom API connections and automation.
• CRM data flows and integrations (Slate, Salesforce, HubSpot).
• Strong understanding of marketing metrics and platform schemas.
• Proficient in Git workflows and multi-client data environments with data segregation.
• Analytical, solutions-driven mindset with strong communication for non-technical audiences.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, SIEM systems, and more.
• Collaborate with customers to understand environments, data flows, and constraints.
• Participate in onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven approaches.
• Develop backend services using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, and analyze data.
• Operate Docker and Kubernetes-based containerized services.
• Deploy across AWS, Azure, and GCP environments.

Conocimientos

Python

Go

SQL

BigQuery

dbt

Dataform

ETL pipelines

REST APIs

Git

Docker

Kubernetes

Herramientas

Adverity

dbt

Dataform

Looker Studio

GitHub Actions

Descripción del empleo

Darwoft is partnering with a cybersecurity platform to build data ingestion connectors for enterprise environments. As a Senior Data Engineer focused on data ingestion and integrations, you will design scalable pipelines, work with Python/Go, and collaborate with customers to translate requirements into robust data solutions.

This 100% remote LATAM role offers high-visibility projects, multi‑client data environments, and opportunities to shape how security data is collected and analyzed across