[Hiring] Data Engineer @FeverUp

Role Description

As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.

You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.

What you will do

• Deeply understand Fever’s backend systems and data models, identifying the logic and transformations that connect business processes to data representations.
• Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.
• Develop and optimize ETL/ELT workflows using Python, DBT, Airflow, and Snowflake, ensuring scalability, maintainability, and reliability.
• Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
• Ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.
• Contribute to the architecture, testing, and observability of our data ecosystem, promoting best practices and automation wherever possible.
• Take ownership from idea to delivery — you’ll scope, design, implement, and ship solutions in close collaboration with cross-functional teams.
• Support the evolution of Fever’s data mesh, helping domain teams design data products that follow common engineering and governance standards.

Qualifications

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams.
• A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field.
• Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
• A deep understanding of data modeling and how complex backend systems generate and expose data across products and domains.
• Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds.
• Excellent communication and collaboration skills — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
• You communicate clearly, think in terms of impact, and make technical decisions grounded in business context.
• You thrive in fast-paced environments, adapt quickly to change, and maintain a strong sense of ownership from concept to delivery.
• Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability.

Nice to have

• Experience with real-time data platforms such as Tinybird or Clickhouse.
• Exposure to domains like B2B, Marketing, or Partner Reporting.
• Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).

Benefits

• "Relación de dependencia" contract.
• Opportunity to have a real impact in a high-growth global category leader.
• 40% discount on all Fever events and experiences.
• Osde 410 as medical insurance.
• Home office friendly anywhere in Argentina.
• Responsibility from day one and professional and personal growth.
• Great work environment with a young, international team of talented people to work with!
• English Lessons.
• PedidosYa Plus.
• Gympass.
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance (Including Base, Variable, and Stock Options).

Interview process

• Talent Interview
• Technical Interview I
• Technical Interview II
• Manager Interview