Senior Data Ingestion Engineer - Remote (Go/Python)

Applaudo; La Pampa; Remote; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

100% remote work

Argentina holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a high‑impact team. You will design and implement scalable ingestion services, connect diverse data sources, and collaborate with customers to meet complex integration requirements in a remote LATAM setting.

You will build robust pipelines using Python/Go, dbt/Dataform, and cloud platforms, ensuring data quality and timely delivery for education and nonprofit clients.

Qualifications

• 5+ years 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 especially valued.

Responsibilities

• 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, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‑volume data sources.
• Build integrations using REST APIs, cloud‑native services, event‑driven architectures, and modern software engineering practices.
• Develop backend services primarily using Python and/or Go.

Skills

BigQuery

SQL

Python

Data ingestion

ETL pipelines

CRM integrations

Git

Looker Studio

Tools

dbt

Dataform

Adverity

GitHub Actions

Docker

Kubernetes

AWS

GCP

Azure

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a high‑impact team. You will design and implement scalable ingestion services, connect diverse data sources, and collaborate with customers to meet complex integration requirements in a remote LATAM setting.

You will build robust pipelines using Python/Go, dbt/Dataform, and cloud platforms, ensuring data quality and timely delivery for education and nonprofit clients.