Remote Data Engineer: Python, AWS & DBT

FullStack; Salta; Presencial; ARS 181.565.000 - 226.956.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Work with leading US clients

Continuing education opportunities

Descripción de la vacante

FullStack, an AI-native engineering partner, is seeking a Data Engineer to join our remote team serving US-based clients. You will build scalable data pipelines, implement Python/SQL/DBT solutions, and integrate Airbyte and AWS data services into production workflows.

Collaborating with designers and engineers in an Agile environment, you will own data solutions end-to-end and contribute to internal libraries. A four-year degree and advanced English are required, with 4+ years of experience.

Formación

• 4+ years of professional data engineering experience.
• Advanced English is required.
• Four-year college degree is required.
• Strong Python for data engineering, data processing and automation.
• Strong SQL experience with PostgreSQL and data modeling concepts.
• Hands-on with DBT, Airbyte, and AWS data stack (S3/Lambda/Step Functions).
• Experience building data pipelines and RESTful APIs in production.
• Familiarity with Docker, Linux CLI, and CI/CD (GitHub Actions).
• Healthcare data experience is strongly preferred.
• Ability to collaborate with stakeholders and drive reliable solutions.

Conocimientos

Data engineering

Python

SQL

REST APIs

Agile/Scrum

Team collaboration

Ownership

English proficiency

Educación

Four-year college degree

Herramientas

PostgreSQL

DBT

Airbyte

Docker

Linux CLI

GitHub Actions

AWS S3

AWS Lambda

AWS Step Functions

RESTful APIs

Descripción del empleo

FullStack, an AI-native engineering partner, is seeking a Data Engineer to join our remote team serving US-based clients. You will build scalable data pipelines, implement Python/SQL/DBT solutions, and integrate Airbyte and AWS data services into production workflows.

Collaborating with designers and engineers in an Agile environment, you will own data solutions end-to-end and contribute to internal libraries. A four-year degree and advanced English are required, with 4+ years of experience.