Senior Data Ingestion Engineer (Python/Go) — Remote

Pwc Argentina; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a scaling Data & Analytics team. You will design and implement scalable ingestion pipelines across identity providers, cloud platforms, and enterprise systems, ensuring reliable data for dashboards and reports.

You will work directly with customers to understand environments, build connectors, deploy in AWS/Azure/GCP, and maintain CI/CD with strict data segregation.

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.

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 CRM data connections so lead and enrollment data flows into the warehouse.
• Own the data warehouse — design schemas for multi-source marketing data in Google BigQuery and manage partitioning, clustering, and storage strategies.
• Own transformation & mapping — build SQL schemas that map, blend, and organize data in modular, version‑controlled pipelines.
• Own CI/CD & data segregation — maintain CI/CD pipelines for robust, version-controlled releases and enforce data segregation across multi‑client environments.
• Enable the reporting layer — create data views for Looker Studio dashboards and automated Google Sheets reports.

Skills

SQL

BigQuery

Python

Go

REST APIs

Data ingestion

CI/CD

GCP/AWS/Azure

Docker

Kubernetes

Tools

Adverity

Fivetran

Supermetrics

Dataform

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a scaling Data & Analytics team. You will design and implement scalable ingestion pipelines across identity providers, cloud platforms, and enterprise systems, ensuring reliable data for dashboards and reports.

You will work directly with customers to understand environments, build connectors, deploy in AWS/Azure/GCP, and maintain CI/CD with strict data segregation.