Senior Data Engineer

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 RoleAs 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.What You Will DoDeeply 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.What You BringFluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teamsA 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 haveExperience with real-time data platforms as Tinybird or ClickhouseExposure to domains like B2B, Marketing, or Partner Reporting.Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).Why Join UsThis is a unique opportunity to join Fever’s Data team at a key moment of growth. You’ll help design and scale the reporting and data delivery layer that connects our platform with thousands of partners worldwide. You’ll work with a modern data stack, collaborate with talented engineers and product teams, and shape how Fever delivers value through data.You’ll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.Interview processThe interview process will be conducted in Spanish; however, some interviews will require English.Talent InterviewTechnical Interview ITechnical Interview IIManager InterviewBenefits & Perks"Relación de dependencia" contract.Opportunity to have a real impact in a high-growth global category leader40% discount on all Fever events and experiencesOsde 410 as medical insuranceHome office friendly anywhere in ArgentinaResponsibility from day one and professional and personal growthGreat work environment with a young, international team of talented people to work with!English LessonsGympassAttractive 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 |TechCrunchFever 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