Remote Data Engineer - Python, AWS & DBT

FullStack; United States; Remote; CLP 16,000,000 - 28,000,000; Full time

Benefits offered by this job

100% remote

Competitive pay

Career growth

Continuing education

Job summary

FullStack is seeking a Data Engineer to join our talent network and work on AI-driven data projects for U.S. clients. You will integrate with client teams, build scalable data pipelines, and deploy data solutions in production environments.

The role requires 4+ years of data engineering experience, strong Python and SQL skills, and proficiency with DBT, Airbyte, and AWS data services. Remote, project-based work with Agile teams is offered.

Qualifications

• 4+ years of professional experience in Data Engineering.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong Python for data engineering, data processing, transformation, and automation.
• Strong SQL experience with PostgreSQL and data modeling.
• Hands-on DBT, Airbyte, and AWS data stack experience.
• Experience developing RESTful APIs in production environments.
• Proficient with Docker, Linux CLI, and CI/CD (GitHub Actions).
• Experience with healthcare data is preferred.
• Ability to collaborate with technical and business stakeholders to deliver scalable solutions.
• Experience working on Agile/Scrum teams and large systems.

Responsibilities

• Integrate directly into client teams and collaborate daily with designers and engineers.
• Develop and maintain reliable data pipelines and transformation workflows.
• Model data and optimize ingestion from multiple sources.
• Build and expose RESTful APIs for production use.
• Contribute to reusable data tooling and libraries.

Skills

Data engineering

Python

PostgreSQL

DBT

Airbyte

AWS data stack

REST APIs

Docker

GitHub Actions

Linux CLI

Education

Bachelor's degree

Tools

PostgreSQL

DBT

Airbyte

AWS services (S3, Lambda)

REST APIs

Docker

GitHub Actions

Job description

FullStack is seeking a Data Engineer to join our talent network and work on AI-driven data projects for U.S. clients. You will integrate with client teams, build scalable data pipelines, and deploy data solutions in production environments.

The role requires 4+ years of data engineering experience, strong Python and SQL skills, and proficiency with DBT, Airbyte, and AWS data services. Remote, project-based work with Agile teams is offered.