Remote Senior Marketing Data Engineer - Education Analytics

Sophilabs, Inc.; Santa Fe Capital; Remote; ARS 181,672,000 - 272,508,000; Full time

Benefits offered by this job

Remote work

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to support a cyber security platform for enterprise clients. You will design and maintain connectors, ingestion services, and scalable pipelines that handle identity, cloud, and network data.

You will work directly with customers to understand environments and constraints, implement REST APIs and modern architectures, and ensure reliable, secure data flows across AWS, Azure and GCP. Remote LATAM-based role.

Qualifications

• 5+ years of hands-on data engineering in marketing or agency environments.
• Experience configuring datastreams, transformations, and destinations in Adverity or comparable ETL platforms (Fivetran, Supermetrics, Funnel).
• Intermediate to advanced SQL with BigQuery experience in transformation, partitioning, and modeling.
• Expertise in dbt or Dataform for modular, version-controlled SQL pipelines.
• Python proficiency for custom API connections and pipeline automation.
• Experience with CRM data flows (Slate, Salesforce, HubSpot).
• Deep understanding of marketing metrics (ROAS, CPA, CAC) and platform schemas for Looker Studio performance.
• Proficiency with Git and multi-client data environments with strict data segregation.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, security requirements, and integration constraints.
• Participate in onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for processing high-volume data sources like events, logs, and telemetry.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services with Python and/or Go; work with SQL and NoSQL databases.
• Operate containerized services using Docker and Kubernetes; deploy across AWS, Azure, and GCP.
• Troubleshoot deployments, optimize ingestion performance, and ensure data security and reliability.
• Collaborate with solution architects, sales engineering, customer success, and product teams.

Skills

SQL

BigQuery

Python

dbt/Dataform

ETL pipelines

CRM data

Marketing metrics

Git

Tools

Adverity

Fivetran

Supermetrics

Funnel

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to support a cyber security platform for enterprise clients. You will design and maintain connectors, ingestion services, and scalable pipelines that handle identity, cloud, and network data.

You will work directly with customers to understand environments and constraints, implement REST APIs and modern architectures, and ensure reliable, secure data flows across AWS, Azure and GCP. Remote LATAM-based role.