Senior Data Engineer - Ingestion & Cloud (Remote LATAM)

YO AI Labs; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 184,482,000; Full time

Benefits offered by this job

Remote work

USD payment contractor

Argentina's public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a remote LATAM team. You will design and implement scalable ingestion pipelines, connect diverse data sources, and ensure high data quality across enterprise environments for a cybersecurity/education platform project.

You will work with Python/Go, SQL/NoSQL, Docker/Kubernetes, and cloud platforms (AWS/AZURE/GCP), collaborating with solution architects and customers to deliver robust data

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
• An analytical, solution‑driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non‑technical audiences — education marketing experience is valued

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 so lead and enrollment data flows into the warehouse
• Own the data warehouse — route, optimize, and store data in Google BigQuery; design schemas; manage partitioning and storage strategy
• Own transformation & mapping — build SQL schemas that map, blend, and organize multi‑channel data in modular pipelines
• Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions) for versioned releases and enforce data segregation across multi‑client environments
• Enable the reporting layer — create clean data views for Looker Studio dashboards and Google Sheets reports
• Drive data quality — monitor pipelines, validate data, troubleshoot, flag risks

Skills

Python

Go

SQL

BigQuery

dbt/Dataform

ETL

REST APIs

Cloud (AWS/Azure/GCP)

Docker

Kubernetes

Git

Looker Studio

Adverity

Tools

dbt

Dataform

GitHub Actions

Fivetran

Supermetrics

Adverity

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join a remote LATAM team. You will design and implement scalable ingestion pipelines, connect diverse data sources, and ensure high data quality across enterprise environments for a cybersecurity/education platform project.

You will work with Python/Go, SQL/NoSQL, Docker/Kubernetes, and cloud platforms (AWS/AZURE/GCP), collaborating with solution architects and customers to deliver robust data