Data Engineer – Python, AWS & DBT (Remote, Latin America)

About the role

We are looking for an experienced Data Engineer to join our talent network and work remotely with U.S. clients on data‑focused projects across Latin America. You will become an integral part of the client’s engineering team, collaborating daily with designers and developers to deliver reliable data pipelines.

Key responsibilities

• Design, build and maintain data pipelines and transformation workflows using DBT.
• Integrate and ingest data from various sources with Airbyte.
• Develop and manage AWS data services such as S3, Lambda and Step Functions.
• Implement RESTful APIs for data access in production environments.
• Set up CI/CD pipelines using Docker, Linux CLI and GitHub Actions.
• Collaborate with technical and business stakeholders to translate requirements into scalable solutions.
• Participate in Agile/Scrum ceremonies and contribute to large, complex systems.

Required profile

• 4+ years of professional data‑engineering experience.
• Advanced English proficiency.
• Bachelor’s degree or equivalent.
• Experience with healthcare or health‑related data is a strong plus.
• Authorized to work in your country without visa sponsorship.

Required skills

• Python
• SQL and PostgreSQL
• DBT
• Airbyte
• AWS (S3, Lambda, Step Functions)
• RESTful API development
• Docker
• Linux command line
• GitHub Actions (CI/CD)

What we offer

• Competitive pay.