Senior Data Engineer: Marketing Data & Ingestion (Remote)

Coderoad; La Pampa; Remote; ARS 122,988,000 - 230,602,000; Full time

Benefits offered by this job

Remote work

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will design and implement scalable ingestion pipelines from enterprise data sources into a cybersecurity platform, working with Python/Go, SQL/NoSQL, and cloud services across AWS, Azure, and GCP.

You will collaborate with customers and internal teams to ensure reliable, secure, and high-performing data integrations, contributing to reusable connectors and the product roadmap while maintaining

Qualifications

• 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)
• A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance
• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation
• Analytical, solution-driven mindset with growth orientation, and strong communication skills for non-technical audiences
• Education/education-free depending on client requirements and role context

Responsibilities

• Own data ingestion & pipeline architecture—connect and maintain API pipelines from paid media platforms into Adverity, build custom Python connectors, and architect scalable pipelines from source to dashboard
• Own CRM integration—build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) into the warehouse
• Own the data warehouse—route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for multi-source marketing data
• Own transformation & mapping—build SQL schemas that map, blend, and organize multi-channel data in modular, version-controlled pipelines
• Own CI/CD & data segregation—maintain CI/CD pipelines (GitHub Actions, automated testing) for robust releases with multi-client isolation
• Enable the reporting layer—create clean data views for Looker Studio dashboards and automated Google Sheets reports
• Drive data quality—monitor pipelines, resolve API breaks, minimize latency, implement validation frameworks

Skills

Python

Go

SQL

BigQuery

dbt

Dataform

API integration

Git

Docker

Kubernetes

Tools

Adverity

Fivetran

Looker Studio

Salesforce

Slate

HubSpot

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will design and implement scalable ingestion pipelines from enterprise data sources into a cybersecurity platform, working with Python/Go, SQL/NoSQL, and cloud services across AWS, Azure, and GCP.

You will collaborate with customers and internal teams to ensure reliable, secure, and high-performing data integrations, contributing to reusable connectors and the product roadmap while maintaining