Data & Software Engineer - Advanced English

Fligoo; Córdoba; Presencial; ARS 136.275.000 - 196.841.000; Jornada completa

Descripción de la vacante

Fligoo is hiring a data engineering lead to own and evolve our data infrastructure, from FHIR ingestion to AI-powered enrichment. You will work on a U.S.-based partner project in Health, shaping the platform as we move from batch ETL to event-driven pipelines and expand RAG capabilities.

You'll influence technical direction, drive architectural decisions, and collaborate across teams, leveraging AWS services and Spark for scalable data processing.

Formación

• 5+ years data engineering experience.
• Strong AWS data services experience (Glue, Redshift, RDS, Kinesis or Kafka).
• Proficiency in Python and SQL; working knowledge of C#.
• Spark or similar distributed processing experience.
• Comfort with AI-assisted development (Cursor, Copilot).

Responsabilidades

• Build and maintain pipelines ingesting FHIR data from customer EHRs into AWS HealthLake.
• Develop ETL processes using Glue/Spark for our multi-tenant Redshift warehouse.
• Lead our transition from batch Glue jobs to event-driven pipelines (Kinesis/Kafka).
• Build AI Agents using MCPs for data enrichment workflows pushing to HealthLake, OpenSearch, RDS.
• Improve our RAG pipeline with Neptune and S3 vector store integration.

Conocimientos

Data engineering

AWS data services

Python & SQL

C# knowledge

Spark

AI-assisted development

Herramientas

Glue

Redshift

RDS

Kinesis

Kafka

Descripción del empleo

At Fligoo, we design and implement advanced Artificial Intelligence and software solutions for large organizations operating at scale. We combine proprietary AI products—primarily focused on predictive analytics and behavior modeling—with AI and software development services to help companies build smarter applications, improve decision-making, and accelerate innovation.

We work with leading companies such as Broadridge, BASF, Red Bull, YPF among others.

About Position

Overview

Position: Full-Time.

The Role

Own and evolve our data infrastructure—from FHIR ingestion through AI-powered enrichment. You will work on one of our key projects with a U.S.-based partner company operating at the forefront of the Health industry, contributing to the modernization of our platform as we move from batch ETL to event-driven pipelines and expand our RAG capabilities. In this role, you’ll have real influence over the technical direction and architectural decisions.

What You’ll Do

• Build and maintain pipelines ingesting FHIR data from customer EHRs into AWS HealthLake
• Develop ETL processes using Glue/Spark for our multi-tenant Redshift warehouse
• Lead our transition from batch Glue jobs to event-driven pipelines (Kinesis/Kafka)
• Build AI Agents using MCPs for data enrichment workflows pushing to HealthLake, OpenSearch, RDS
• Improve our RAG pipeline with Neptune and S3 vector store integration

What You Bring

• 5+ years data engineering experience
• Strong AWS data services experience (Glue, Redshift, RDS, Kinesis or Kafka)
• Proficiency in Python and SQL; working knowledge of C#
• Spark or similar distributed processing experience
• Comfort with AI-assisted development (Cursor, Copilot)