Senior Data Ingestion Engineer – Remote (LATAM)

Boehringer Ingelheim Gmbh; La Pampa; Remote; ARS 120,923,000 - 207,297,000; Full time

Benefits offered by this job

Payment in USD

100% remote work

Public holidays in Argentina

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, work with REST APIs, cloud services, and containerized deployments, and collaborate across teams to deliver reliable data solutions.

You will engage with customers to understand data sources, security requirements, and integration constraints, building durable connectors while ensuring performance and

Qualifications

• 10+ years of professional Software/Data Engineering experience.
• Strong Python and Go development.
• Experience building data ingestion pipelines and connectors.
• Experience with cloud platforms and containerized deployments.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources (identity providers, cloud platforms, network infra, SIEM) into the platform.
• Collaborate with customers to understand environments and integration constraints.
• Build scalable ingestion architectures for high-volume data (events, logs, telemetry).
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, work with REST APIs, cloud services, and containerized deployments, and collaborate across teams to deliver reliable data solutions.

You will engage with customers to understand data sources, security requirements, and integration constraints, building durable connectors while ensuring performance and