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Data Engineer (Python + AWS + DBT) - Remote - Latin America

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Remote

Data Engineer (Python + AWS + DBT) - Remote - Latin America

FullStack

Data Engineer (Python + AWS + DBT) - Remote - Latin America

Skills

SQL QueriesData EngineeringDockerPythonPostgreSQLAWS LambdaAWSdbtGitHubLinux

2 months ago

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Important information


Contract type:

Permanent

Location:

Salvador, State of Bahia, Brazil

Work mode:

Remote

Published on:

27 August 2026

What they need


About FullStack FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

We’re Most Proud Of

  • Offering life-changing opportunities for talented software professionals across the Americas.
  • Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Opportunity Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Engineer (Python + AWS + DBT).

  • You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

  • 4+ years of professional experience in Data Engineering.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Strong professional experience with Python for data engineering, data processing, transformation, and automation.
  • Strong SQL experience, with hands-on experience working with PostgreSQL and data modeling concepts.
  • Hands-on experience building and maintaining data pipelines and transformation workflows using DBT.
  • Experience with data integration and ingestion, including hands-on experience with Airbyte.
  • Experience working with the AWS data stack, particularly S3, Lambda, and Step Functions.
  • Experience developing and integrating RESTful APIs in production environments.
  • Hands-on experience with Docker, Linux CLI, and GitHub Actions for CI/CD.
  • Experience working with healthcare or health-related data is strongly preferred.
  • Ability to collaborate with technical and business stakeholders and translate data requirements into reliable, scalable solutions.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

Work Authorization Requirements

  • Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
  • FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

  • Competitive pay.
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Continuing education opportunities.
  • Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

Learn more about our Applicants Privacy Notice.

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