Remote Data Engineer — Python + AWS + DBT

FullStack; Buenos Aires; Remote; ARS 181,527,000 - 272,290,000; Full time

Benefits offered by this job

100% remote work

Continuing education opportunities

Competitive pay

Work with startups and Fortune 500"s

Job summary

FullStack is seeking a Data Engineer to join our talent network for US client projects. You will design, build, and optimize data pipelines using Python, DBT, and Airbyte, plus integrate with AWS data services. Collaboration with designers and engineers on client teams is daily work.

Advanced English, a four-year degree, and strong SQL with PostgreSQL are required. Remote work is 100%, with exposure to health data preferred and a focus on reliable, scalable solutions.

Qualifications

• 4+ years of professional Data Engineering experience.
• Advanced English is required.
• Four-year college degree completed.
• Strong Python for data engineering, data processing, and automation.
• Hands-on data pipelines and transformations with DBT.
• Experience with AWS data services and PostgreSQL.
• Experience building RESTful APIs.
• Familiarity with Docker, Linux, and CI/CD.

Responsibilities

• Build and maintain data pipelines end-to-end.
• Collaborate with clients' teams to translate data requirements into scalable solutions.
• Design data models and optimize data processing.
• Ensure CI/CD and reliable deployment of data apps.

Skills

Python

PostgreSQL

DBT

Airbyte

REST APIs

Docker

GitHub Actions

Linux CLI

Data modeling

Healthcare data

Education

Four-year college degree

Tools

DBT

Airbyte

Docker

PostgreSQL

AWS

REST APIs

GitHub Actions

CI/CD

Linux

Job description

FullStack is seeking a Data Engineer to join our talent network for US client projects. You will design, build, and optimize data pipelines using Python, DBT, and Airbyte, plus integrate with AWS data services. Collaboration with designers and engineers on client teams is daily work.

Advanced English, a four-year degree, and strong SQL with PostgreSQL are required. Remote work is 100%, with exposure to health data preferred and a focus on reliable, scalable solutions.