Senior Data Engineer - Ingestion & Integrations

Solicitud De Empleo Para Ingeniero De Datos Senior En Encora; La Pampa; A distancia; ARS 137.157.000 - 228.596.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Contractor agreement with USD payment

Argentina holidays

English classes

Access to learning platforms

Referral program

Descripción de la vacante

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will build and manage data pipelines linking identity providers, cloud platforms, and security systems into scalable ingestion architectures.

You’ll work closely with customers to understand their environments, deploy robust connectors, and ensure data quality across multi‑client environments while collaborating with engineering and product teams.

Formación

• 5+ years hands-on data engineering experience in marketing or agency environments.
• Experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms such as Fivetran, Supermetrics, Funnel.
• Advanced SQL with BigQuery experience in transformations and modeling.
• Expertise in dbt or Dataform for modular pipelines with version control.
• Python proficiency for API connections and pipeline automation.
• CRM data flows integrations (Slate, Salesforce, HubSpot).
• Understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas.
• Git-based development workflows and CI/CD practices.
• Ability to manage multi-client data environments with strict data segregation.

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, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services in Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, and analyze data.
• Operate Docker and Kubernetes-based services; deploy across AWS, Azure, GCP.
• Troubleshoot deployments, optimize performance, and ensure data quality.
• Collaborate with Solution Architects, Sales Engineering, and Customer Success.
• Translate customer requirements into pragmatic technical solutions; contribute to product roadmap.
• Occasional customer-facing sessions and onsite engagements.

Conocimientos

SQL

BigQuery

Python

dbt/Dataform

ETL Pipelines

REST APIs

Git & CI/CD

CRM data integration

Adverity

Fivetran

Supermetrics

Funnel

Herramientas

Adverity

Fivetran

Supermetrics

Funnel

Descripción del empleo

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a 100% remote role in LATAM. You will build and manage data pipelines linking identity providers, cloud platforms, and security systems into scalable ingestion architectures.

You’ll work closely with customers to understand their environments, deploy robust connectors, and ensure data quality across multi‑client environments while collaborating with engineering and product teams.