Data Engineer

About the role

Fever is looking for a Data Engineer to design and deliver data products that power its partner ecosystem, including real‑time APIs, dashboards, and automated reports. You will work with modern data platforms such as Snowflake, DBT, Airflow, and Superset, translating complex business needs into scalable solutions.

Key responsibilities

• Understand Fever’s backend systems and data models, mapping business processes to data representations.
• Collaborate with product managers and stakeholders to turn reporting needs into technical requirements.
• Develop and optimise ETL/ELT workflows using Python, DBT, Airflow, and Snowflake.
• Design, build and maintain partner‑facing data products like APIs, dashboards, webhooks and file exports.
• Ensure data accuracy, consistency and alignment with business context for all partner deliveries.
• Contribute to architecture, testing and observability of the data ecosystem, promoting automation and best practices.

Required profile

• Fluent in Spanish and English for communication with local and global teams.
• Bachelor’s or Master’s degree in Computer Engineering, Data Engineering or related field.
• Strong experience building data products for external consumption (APIs, dashboards, data feeds).
• Excellent communication and collaboration skills with business stakeholders.
• Ability to thrive in fast‑paced environments and take ownership from concept to delivery.

Required skills

• Python
• SQL
• Airflow
• Snowflake (or similar cloud data warehouse)
• DBT
• Version control with Git
• CI/CD pipelines
• Testing and observability practices

What we offer

• Permanent contract ("Relación de dependencia")
• Remote‑first work mode, home‑office friendly anywhere in Argentina
• Competitive salary with base, variable bonus and stock options
• 40% discount on Fever events and experiences
• Medical insurance (Osde 410)
• English lessons, gym access, and other perks
• Opportunity to have real impact in a high‑growth global company