Remote Data Engineer — AI Pipelines & Retrieval

Azumo; Argentina; A distancia; ARS 136.577.000 - 182.102.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid time off (PTO)

U.S. Holidays

AI Training

Mentored career development

Profit sharing

US$ remuneration

Descripción de la vacante

Azumo is hiring a Data Engineer to own ingestion and transformation pipelines, storage design, and the retrieval infrastructure for AI systems. The role is fully remote across Latin America, aligned to client workdays.

You will build batch and streaming pipelines, warehouse modeling, and the retrieval components feeding RAG systems, with a focus on data quality, governance, and scalable production operations.

Formación

• 5+ years building and operating production data pipelines using Python and SQL, with solid testing, CI/CD, Git, containers, and orchestration.
• Deep expertise designing data warehouses or lakehouses, including dimensional modeling and cost/performance trade-offs.
• Distributed processing at production scale with Spark, Kafka, Flink or equivalent.
• Orchestration expertise with Airflow, Dagster or Prefect, including retries and backfill strategy.
• Transformation under version control with dbt or equivalents.
• Cloud deployment experience (Azure preferred; AWS acceptable) with Docker and infrastructure as code.
• Experience with cost, runtime, and throughput management for pipelines.
• Active use of AI-assisted coding tools in real delivery work.
• Strong English communication and ability to explain technical trade-offs to clients.
• Bachelor's degree in CS/Data Science or related field, or equivalent experience.

Responsabilidades

• Own ingestion and transformation pipelines, including batch and streaming workflows.
• Design and implement storage models (warehouse/lakehouse) and data retrieval pipelines for AI systems.
• Build and maintain retrieval infrastructure using vector stores and indexing services.
• Maintain data quality contracts, tests, lineage, and alerting for pipelines.
• Ensure security, privacy, and auditing for sensitive data.
• Close collaboration with clients and internal teams to deliver production-grade data systems.
• Operate pipelines in cloud environments with CI/CD, monitoring, and cost governance.

Conocimientos

Python

SQL

Data pipelines

CI/CD

Cloud deployments

Distributed processing

Data modeling

English

Educación

Bachelor's degree in CS/DS or related field

Herramientas

Spark

Kafka

Flink

Airflow

Dagster

Prefect

dbt

GitHub Actions

Terraform

Bicep

Azure

AWS

pgvector

Pinecone

Qdrant

Descripción del empleo

Azumo is hiring a Data Engineer to own ingestion and transformation pipelines, storage design, and the retrieval infrastructure for AI systems. The role is fully remote across Latin America, aligned to client workdays.

You will build batch and streaming pipelines, warehouse modeling, and the retrieval components feeding RAG systems, with a focus on data quality, governance, and scalable production operations.