Hey there!
We’re Fever , the world’s leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let’s discuss this role and what you will do to help achieve Fever’s mission.
About the role
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.
Be part of high-impact launches: You'll have the opportunity to collaborate closely with major strategic partners, including occasional travel throughout the year to support key launches and ensure their success.
What you bring
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…