Senior Data Ingestion Engineer (Python/Go) — Remote

Atomic Hr; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentina public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will design production-grade data collectors, integrate diverse enterprise sources, and deploy scalable ingestion pipelines across AWS, Azure, and GCP.

You’ll work directly with customers to translate requirements into robust data architectures. You will build Python/Go services, manage SQL/NoSQL data stores, and ensure reliable, scalable pipelines while collaborating with solution architects

Qualifications

• 10+ years in software/data engineering or related roles.
• Strong SQL and BigQuery experience with modeling and partitioning.
• Proficiency in Python and/or Go for data pipelines.
• Experience building and maintaining ETL/ELT pipelines and CI/CD.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise sources (IDPs, cloud platforms, SIEM, network) into ingestion pipelines.
• Collaborate with customers to understand environments and integration constraints.
• Design scalable ingestion architectures for high-volume data sources.
• Develop backend services in Python and/or Go; work with SQL/NoSQL databases.
• Operate Docker and Kubernetes-based services across AWS/Azure/GCP.

Skills

Python

Go

SQL/BigQuery

REST APIs

Data ingestion pipelines

Docker

Kubernetes

Git & CI/CD

Tools

Adverity

dbt/Dataform

Looker Studio

Fivetran

Supermetrics

Funnel

GitHub Actions

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will design production-grade data collectors, integrate diverse enterprise sources, and deploy scalable ingestion pipelines across AWS, Azure, and GCP.

You’ll work directly with customers to translate requirements into robust data architectures. You will build Python/Go services, manage SQL/NoSQL data stores, and ensure reliable, scalable pipelines while collaborating with solution architects