Remote Data Engineer — Python, AWS & DBT

FullStack; Comisión de Fomento de Perú; Remote; PEN 302,000 - 504,000; Full time

Benefits offered by this job

100% remote

Competitive pay

Continuing education opportunities

Career growth opportunities

Job summary

FullStack is seeking a Data Engineer to join our talent network and work with U.S. clients on flexible, project-based development. You will collaborate with client teams, build data pipelines, and implement transformations using DBT and AWS services.

Ideal candidates have 4+ years in data engineering, strong Python and SQL with PostgreSQL, and experience with data integration tools like Airbyte. Remote, international collaboration with agile teams awaits.

Qualifications

• 4+ years of professional experience in Data Engineering.
• Advanced English is required.
• Bachelor's degree required.
• Strong Python for data engineering, data processing, transformation, and automation.
• Strong SQL experience with PostgreSQL and data modeling concepts.
• Hands-on experience with DBT, Airbyte, and AWS data stack (S3, Lambda, Step Functions).
• Experience developing and integrating RESTful APIs in production.
• Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
• Healthcare or health-related data experience strongly preferred.
• Able to collaborate with stakeholders and deliver reliable, scalable solutions.

Responsibilities

• Join client teams and work with designers and engineers daily.
• Build and maintain data pipelines and transformation workflows.
• Translate data requirements into robust data models and solutions.
• Ensure CI/CD automation and reliable deployments in production.

Skills

Python

SQL

Airbyte

DBT

AWS

Docker

REST APIs

CI/CD

Agile/Scrum

Data Modeling

PostgreSQL

Linux

GitHub Actions

Education

Four-year college degree

Tools

Airbyte

DBT

PostgreSQL

Docker

GitHub Actions

AWS

Job description

FullStack is seeking a Data Engineer to join our talent network and work with U.S. clients on flexible, project-based development. You will collaborate with client teams, build data pipelines, and implement transformations using DBT and AWS services.

Ideal candidates have 4+ years in data engineering, strong Python and SQL with PostgreSQL, and experience with data integration tools like Airbyte. Remote, international collaboration with agile teams awaits.