Data Platforms & AI Tooling Engineer

ITX; Argentina; Remote; ARS 91,353,000 - 133,647,000; Full time

Job summary

ITX is seeking a Data Engineer to join Data Platforms & Internal Tooling, building the enterprise data platform that powers analytics, internal products, and our growing Agentic AI ecosystem.

You will collaborate with AI, platform, and infrastructure teams to design scalable data models, pipelines, and integration layers that enable secure data access for production AI workloads. A strong emphasis on data governance and observability is required.

Qualifications

• 4+ years of experience in Data Engineering, Backend Engineering, or related field.

Responsibilities

• Build and maintain scalable batch and streaming data pipelines ingesting data from apps, databases, APIs, event streams and third-party systems.
• Develop trusted data products to support analytics, business apps, and AI solutions.
• Design and maintain data models for reporting, analytics, and AI consumption.
• Build AI-facing integration layers enabling secure access to data and platform capabilities.
• Collaborate with AI, platform, and infrastructure teams to support production-grade Agentic AI solutions.
• Implement data quality, testing, monitoring, observability, and lineage across data pipelines and AI integrations.
• Ensure data governance, privacy, security, and access-control standards are applied consistently.
• Prepare structured and unstructured data for analytics, ML, and agentic workflows.
• Contribute to architecture decisions and scale the data platform for future growth.

Skills

Python

SQL

Data pipelines

CI/CD

Docker

GitHub Copilot

English proficiency

Tools

Snowflake

Databricks

BigQuery

Redshift

Microsoft Fabric

dbt

Airflow

Dagster

Prefect

Azure Data Factory

Terraform

Docker

OpenTelemetry

Langfuse

LangSmith

Promptfoo

Pinecone

Weaviate

Qdrant

pgvector

Job description

ITX is seeking a Data Engineer to join Data Platforms & Internal Tooling, building the enterprise data platform that powers analytics, internal products, and our growing Agentic AI ecosystem.

You will collaborate with AI, platform, and infrastructure teams to design scalable data models, pipelines, and integration layers that enable secure data access for production AI workloads. A strong emphasis on data governance and observability is required.