Remote Data Engineer — Python, AWS & DBT

FullStack; Santiago; A distancia; CLP 83.799.000 - 121.043.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

100% remote work

Work with startups & Fortune 500

Descripción de la vacante

FullStack is seeking a Data Engineer to join our talent network and work with U.S. clients on flexible, project-based development.

You will integrate into client teams and collaborate with designers and engineers daily on data pipelines and data-driven solutions. Requirements include 4+ years in data engineering, advanced English, a four-year degree, and hands-on experience with Python, SQL (PostgreSQL), DBT, Airbyte, and AWS data services.

Formación

• 4+ years of professional experience in Data Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong experience with Python for data engineering, data processing, transformation, and automation.
• Strong SQL experience with PostgreSQL and data modeling concepts.
• Hands-on experience building data pipelines using DBT.
• Experience with data integration including Airbyte.
• Experience with AWS data stack (S3, Lambda, Step Functions).
• Experience developing and integrating RESTful APIs in production environments.
• Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.

Responsabilidades

• Integrate directly into client teams and collaborate with designers and engineers daily.
• Build, optimize, and maintain data pipelines and transformation workflows.
• Develop scalable data solutions and APIs for production environments.

Conocimientos

Python for data engineering

SQL (PostgreSQL)

DBT

Airbyte

AWS data stack (S3, Lambda)

RESTful APIs

Docker

Linux CLI

CI/CD (GitHub Actions)

Data modeling

Educación

Four-year college degree

Herramientas

Python

AWS

DBT

PostgreSQL

Airbyte

Docker

Linux CLI

GitHub Actions

Descripción del empleo

FullStack is seeking a Data Engineer to join our talent network and work with U.S. clients on flexible, project-based development.

You will integrate into client teams and collaborate with designers and engineers daily on data pipelines and data-driven solutions. Requirements include 4+ years in data engineering, advanced English, a four-year degree, and hands-on experience with Python, SQL (PostgreSQL), DBT, Airbyte, and AWS data services.