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 \+40 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 Senior 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. **Key responsibilities** * 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. **About you** ------------- * 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. **It would be a plus if you...** * Experience with real\-time data platforms as Tinybird or Clickhouse * Exposure to domains like B2B, Marketing, or Partner Reporting. * Experience with streaming or near\-real\-time data (Kafka, Kinesis, etc.). **On your first month in Fever:** --------------------------------- * You will be fully integrated into the team. During this month you will have already participated in onboarding, pair programming, one to one, Scrum sessions, and you will have met the different departments at Fever * You will get familiar with Fever's tech stack and frameworks used to develop our data strategy * You will attend some of the Fever Original's experiences like Candlelight **After 3 months in Fever:** * You'll be able to come up with solutions to new difficult problems and you'll be generating impact and creating new business opportunities. * You'll have responsibilities and ownership over parts of our Data Warehouse or other critical tools. * You will participate in some of the hackdays or hackathons we organize with other teams, and you will mostly know everybody from the data and engineering communities. **On your 6th month in Fever:** * You'll contribute to the overall health of our data ecosystem, improving performance, scalability, robustness, … * You'll be able to identify gaps in our platforms and processes and be a champion for continuous improvement. * You'll be mentoring other new joiners to the team. * You will participate in some of the team buildings we organise for your team or the whole engineering team. **Benefits \& Perks** --------------------- * "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 * 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) Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog \| Tech.Eu \|TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever \- Candidate Privacy Notice